Valid HTML 4.0! Valid CSS!
%%% -*-BibTeX-*-
%%% ====================================================================
%%%  BibTeX-file{
%%%     author          = "Nelson H. F. Beebe",
%%%     version         = "1.04",
%%%     date            = "29 October 2019",
%%%     time            = "11:11:12 MDT",
%%%     filename        = "ieeetransbigdata.bib",
%%%     address         = "University of Utah
%%%                        Department of Mathematics, 110 LCB
%%%                        155 S 1400 E RM 233
%%%                        Salt Lake City, UT 84112-0090
%%%                        USA",
%%%     telephone       = "+1 801 581 5254",
%%%     FAX             = "+1 801 581 4148",
%%%     URL             = "http://www.math.utah.edu/~beebe",
%%%     checksum        = "22577 5077 21524 234310",
%%%     email           = "beebe at math.utah.edu, beebe at acm.org,
%%%                        beebe at computer.org (Internet)",
%%%     codetable       = "ISO/ASCII",
%%%     keywords        = "bibliography; BibTeX; IEEE Transactions on
%%%                        Big Data",
%%%     license         = "public domain",
%%%     supported       = "yes",
%%%     docstring       = "This is a COMPLETE bibliography of the
%%%                        journal IEEE Transactions on Big Data (CODEN
%%%                        none, ISSN 2332-7790) which began publishing
%%%                        with volume 1, number 1, in March 2015.  The
%%%                        journal appears quarterly.
%%%
%%%                        The journal has Web sites at
%%%
%%%                            http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317
%%%                            http://www.computer.org/csdl/trans/bd/index.html
%%%
%%%                        At version 1.04, the COMPLETE year coverage
%%%                        looked like this:
%%%
%%%                             2015 (  18)    2017 (  41)    2019 (  35)
%%%                             2016 (  31)    2018 (  51)
%%%
%%%                             Article:        176
%%%
%%%                             Total entries:  176
%%%
%%%                        Data for this bibliography have been derived
%%%                        mainly from the journal Web site, with
%%%                        possible contributions from the BibNet
%%%                        Project and TeX User Group bibliography
%%%                        archives.
%%%
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%%%                        checksum as the first value, followed by the
%%%                        equivalent of the standard UNIX wc (word
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%%%                        characters.  This is produced by Robert
%%%                        Solovay's checksum utility.",
%%%  }
%%% ====================================================================
@Preamble{
    "\hyphenation{ }" #
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}

%%% ====================================================================
%%% Acknowledgement abbreviations:
@String{ack-nhfb = "Nelson H. F. Beebe,
                    University of Utah,
                    Department of Mathematics, 110 LCB,
                    155 S 1400 E RM 233,
                    Salt Lake City, UT 84112-0090, USA,
                    Tel: +1 801 581 5254,
                    FAX: +1 801 581 4148,
                    e-mail: \path|beebe@math.utah.edu|,
                            \path|beebe@acm.org|,
                            \path|beebe@computer.org| (Internet),
                    URL: \path|http://www.math.utah.edu/~beebe/|"}

%%% ====================================================================
%%% Journal abbreviations:
@String{j-IEEE-TRANS-BIG-DATA   = "IEEE Transactions on Big Data"}

%%% ====================================================================
%%% Bibliography entries, in publication order:
@Article{Crago:2015:WIT,
  author =       "Stephen Crago",
  title =        "Welcome to the {{\booktitle{IEEE Transactions on Big
                 Data}}}",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "1",
  number =       "1",
  pages =        "1",
  month =        mar,
  year =         "2015",
  CODEN =        "????",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Tue May 31 17:01:46 MDT 2016",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  URL =          "http://www.computer.org/csdl/trans/bd/2015/01/07265157.pdf",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
}

@Article{Yang:2015:IIT,
  author =       "Qiang Yang",
  title =        "Introduction to the {{\booktitle{IEEE Transactions on
                 Big Data}}}",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "1",
  number =       "1",
  pages =        "2--15",
  month =        mar,
  year =         "2015",
  CODEN =        "????",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Tue May 31 17:01:46 MDT 2016",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  URL =          "http://www.computer.org/csdl/trans/bd/2015/01/07265156.pdf",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
}

@Article{Zheng:2015:MCD,
  author =       "Yu Zheng",
  title =        "Methodologies for Cross-Domain Data Fusion: An
                 Overview",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "1",
  number =       "1",
  pages =        "16--34",
  month =        mar,
  year =         "2015",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1109/TBDATA.2015.2465959",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Tue May 31 17:01:46 MDT 2016",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  abstract-URL = "http://www.computer.org/csdl/trans/bd/2015/01/07230259-abs.html",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
}

@Article{Liu:2015:EIE,
  author =       "Huan Liu",
  title =        "Embracing Information Explosion without Choking:
                 Clustering and Labeling in Microblogging",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "1",
  number =       "1",
  pages =        "35--46",
  month =        mar,
  year =         "2015",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1109/TBDATA.2015.2451635",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Tue May 31 17:01:46 MDT 2016",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  abstract-URL = "http://www.computer.org/csdl/trans/bd/2015/01/07153539-abs.html",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
}

@Article{Anonymous:2015:ITBa,
  author =       "Anonymous",
  title =        "{{\booktitle{IEEE Transactions on Big Data}}}",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "1",
  number =       "1",
  pages =        "47",
  month =        mar,
  year =         "2015",
  CODEN =        "????",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Tue May 31 17:01:46 MDT 2016",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  URL =          "http://www.computer.org/csdl/trans/bd/2015/01/07152999.pdf",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
}

@Article{Anonymous:2015:ITBb,
  author =       "Anonymous",
  title =        "{{\booktitle{IEEE Transactions on Big Data}}}",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "1",
  number =       "1",
  pages =        "48",
  month =        mar,
  year =         "2015",
  CODEN =        "????",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Tue May 31 17:01:46 MDT 2016",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  URL =          "http://www.computer.org/csdl/trans/bd/2015/01/07153000.pdf",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
}

@Article{Yu:2015:PNP,
  author =       "Yaoliang Yu",
  title =        "{Petuum}: A New Platform for Distributed Machine
                 Learning on Big Data",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "1",
  number =       "2",
  pages =        "49--67",
  month =        jun,
  year =         "2015",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1109/TBDATA.2015.2472014",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Tue May 31 17:01:46 MDT 2016",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  abstract-URL = "http://www.computer.org/csdl/trans/bd/2015/02/07239545-abs.html",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
}

@Article{Ni:2015:SPS,
  author =       "Lionel M. Ni",
  title =        "{SMC}: A Practical Schema for Privacy-Preserved Data
                 Sharing over Distributed Data Streams",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "1",
  number =       "2",
  pages =        "68--81",
  month =        jun,
  year =         "2015",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1109/TBDATA.2015.2498156",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Tue May 31 17:01:46 MDT 2016",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  abstract-URL = "http://www.computer.org/csdl/trans/bd/2015/02/07321000-abs.html",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
}

@Article{Aggarwal:2015:GEBa,
  author =       "Charu C. Aggarwal",
  title =        "Guest Editorial: Big Media Data: Understanding,
                 Search, and Mining",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "1",
  number =       "3",
  pages =        "82--83",
  month =        sep,
  year =         "2015",
  CODEN =        "????",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Tue May 31 17:01:46 MDT 2016",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  URL =          "http://www.computer.org/csdl/trans/bd/2015/03/07355488.pdf",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
}

@Article{Sun:2015:CCH,
  author =       "Zhenan Sun",
  title =        "Code Consistent Hashing Based on Information-Theoretic
                 Criterion",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "1",
  number =       "3",
  pages =        "84--94",
  month =        sep,
  year =         "2015",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1109/TBDATA.2015.2499191",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Tue May 31 17:01:46 MDT 2016",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/hash.bib;
                 http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  abstract-URL = "http://www.computer.org/csdl/trans/bd/2015/03/07327170-abs.html",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
}

@Article{Tao:2015:EIS,
  author =       "Dacheng Tao",
  title =        "Exploration of Image Search Results Quality
                 Assessment",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "1",
  number =       "3",
  pages =        "95--108",
  month =        sep,
  year =         "2015",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1109/TBDATA.2015.2497710",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Tue May 31 17:01:46 MDT 2016",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  abstract-URL = "http://www.computer.org/csdl/trans/bd/2015/03/07350210-abs.html",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
}

@Article{Zhuang:2015:WSS,
  author =       "Yueting Zhuang",
  title =        "Weakly Semi-Supervised Deep Learning for Multi-Label
                 Image Annotation",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "1",
  number =       "3",
  pages =        "109--122",
  month =        sep,
  year =         "2015",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1109/TBDATA.2015.2497270",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Tue May 31 17:01:46 MDT 2016",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  abstract-URL = "http://www.computer.org/csdl/trans/bd/2015/03/07317747-abs.html",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
}

@Article{Yao:2015:GEB,
  author =       "Lina Yao",
  title =        "Guest Editorial: Big Data Analytics and the {Web}",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "1",
  number =       "4",
  pages =        "123--124",
  month =        dec,
  year =         "2015",
  CODEN =        "????",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Tue May 31 17:01:47 MDT 2016",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  URL =          "http://www.computer.org/csdl/trans/bd/2015/04/07395032.pdf",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
}

@Article{Yang:2015:LAA,
  author =       "Laurence T. Yang",
  title =        "{LS-AMS}: An Adaptive Indexing Structure for Realtime
                 Search on Microblogs",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "1",
  number =       "4",
  pages =        "125--137",
  month =        dec,
  year =         "2015",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1109/TBDATA.2015.2506159",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Tue May 31 17:01:47 MDT 2016",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  abstract-URL = "http://www.computer.org/csdl/trans/bd/2015/04/07355316-abs.html",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
}

@Article{Kotoulas:2015:SPL,
  author =       "Spyros Kotoulas",
  title =        "Scale-Out Processing of Large {RDF} Datasets",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "1",
  number =       "4",
  pages =        "138--150",
  month =        dec,
  year =         "2015",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1109/TBDATA.2015.2505719",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Tue May 31 17:01:47 MDT 2016",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  abstract-URL = "http://www.computer.org/csdl/trans/bd/2015/04/07355330-abs.html",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
}

@Article{Aggarwal:2015:GEBb,
  author =       "Charu C. Aggarwal",
  title =        "Guest Editorial: Big Media Data: Understanding,
                 Search, and Mining {(Part 2)}",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "1",
  number =       "4",
  pages =        "151",
  month =        dec,
  year =         "2015",
  CODEN =        "????",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Tue May 31 17:01:47 MDT 2016",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  URL =          "http://www.computer.org/csdl/trans/bd/2015/04/07395031.pdf",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
}

@Article{Hua:2015:LVS,
  author =       "Xian-Sheng Hua",
  title =        "Learning Visual Semantic Relationships for Efficient
                 Visual Retrieval",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "1",
  number =       "4",
  pages =        "152--161",
  month =        dec,
  year =         "2015",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2515640",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Tue May 31 17:01:47 MDT 2016",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  abstract-URL = "http://www.computer.org/csdl/trans/bd/2015/04/07381653-abs.html",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
}

@Article{Li:2015:RDS,
  author =       "Xuelong Li",
  title =        "Robust Discrete Spectral Hashing for Large-Scale Image
                 Semantic Indexing",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "1",
  number =       "4",
  pages =        "162--171",
  month =        dec,
  year =         "2015",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2516024",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Tue May 31 17:01:47 MDT 2016",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/hash.bib;
                 http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  abstract-URL = "http://www.computer.org/csdl/trans/bd/2015/04/07381642-abs.html",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
}

@Article{Candan:2016:GEB,
  author =       "K. Selcuk Candan",
  title =        "Guest Editorial: Big Scholar Data Discovery and
                 Collaboration",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "2",
  number =       "1",
  pages =        "1--2",
  month =        mar,
  year =         "2016",
  CODEN =        "????",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Tue May 31 17:01:47 MDT 2016",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  URL =          "http://www.computer.org/csdl/trans/bd/2016/01/07473985.pdf",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
}

@Article{Giles:2016:ASE,
  author =       "C. Lee Giles",
  title =        "{AlgorithmSeer}: A System for Extracting and Searching
                 for Algorithms in Scholarly Big Data",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "2",
  number =       "1",
  pages =        "3--17",
  month =        mar,
  year =         "2016",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2546302",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Tue May 31 17:01:47 MDT 2016",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  abstract-URL = "http://www.computer.org/csdl/trans/bd/2016/01/07448389-abs.html",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
}

@Article{Chawla:2016:CSI,
  author =       "Nitesh V. Chawla",
  title =        "Can Scientific Impact Be Predicted?",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "2",
  number =       "1",
  pages =        "18--30",
  month =        mar,
  year =         "2016",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2521657",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Tue May 31 17:01:47 MDT 2016",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  abstract-URL = "http://www.computer.org/csdl/trans/bd/2016/01/07397965-abs.html",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Big data; Citation prediction; citation prediction;
                 Computer science; Distortion measurement; h-index
                 prediction; Indexes; Popularity prediction; popularity
                 prediction; Predictive models; Productivity; Science of
                 science; science of science; Scientific impact;
                 Yttrium",
}

@Article{Aggarwal:2016:GEB,
  author =       "Charu C. Aggarwal",
  title =        "Guest Editorial: Big Media Data: Understanding,
                 Search, and Mining",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "2",
  number =       "1",
  pages =        "31",
  month =        mar,
  year =         "2016",
  CODEN =        "????",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Tue May 31 17:01:47 MDT 2016",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  URL =          "http://www.computer.org/csdl/trans/bd/2016/01/07473987.pdf",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
}

@Article{Wang:2016:PCD,
  author =       "Jiajun Wang",
  title =        "Partial Copy Detection in Videos: A Benchmark and an
                 Evaluation of Popular Methods",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "2",
  number =       "1",
  pages =        "32--42",
  month =        mar,
  year =         "2016",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2530714",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Tue May 31 17:01:47 MDT 2016",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  abstract-URL = "http://www.computer.org/csdl/trans/bd/2016/01/07416633-abs.html",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
}

@Article{Fu:2016:PTS,
  author =       "Yun Fu",
  title =        "Personalized Travel Sequence Recommendation on
                 Multi-Source Big Social Media",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "2",
  number =       "1",
  pages =        "43--56",
  month =        mar,
  year =         "2016",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2541160",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Tue May 31 17:01:47 MDT 2016",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  abstract-URL = "http://www.computer.org/csdl/trans/bd/2016/01/07444160-abs.html",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
}

@Article{Matsuoka:2016:GAL,
  author =       "Satoshi Matsuoka",
  title =        "{GPU}-Accelerated Large-Scale Distributed Sorting
                 Coping with Device Memory Capacity",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "2",
  number =       "1",
  pages =        "57--69",
  month =        mar,
  year =         "2016",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1109/TBDATA.2015.2511001",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Tue May 31 17:01:47 MDT 2016",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  abstract-URL = "http://www.computer.org/csdl/trans/bd/2016/01/07372425-abs.html",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
}

@Article{Ng:2016:UUS,
  author =       "Wilfred Ng",
  title =        "{USTF}: A Unified System of Team Formation",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "2",
  number =       "1",
  pages =        "70--84",
  month =        mar,
  year =         "2016",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2546303",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Tue May 31 17:01:47 MDT 2016",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  abstract-URL = "http://www.computer.org/csdl/trans/bd/2016/01/07445184-abs.html",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
}

@Article{Kitsuregawa:2016:VEC,
  author =       "Masaru Kitsuregawa",
  title =        "Visual Exploration of Changes in Passenger Flows and
                 Tweets on Mega-City Metro Network",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "2",
  number =       "1",
  pages =        "85--99",
  month =        mar,
  year =         "2016",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2546301",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Tue May 31 17:01:47 MDT 2016",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  abstract-URL = "http://www.computer.org/csdl/trans/bd/2016/01/07445832-abs.html",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
}

@Article{Xia:2016:SAR,
  author =       "Feng Xia and Haifeng Liu and Ivan Lee and Longbing
                 Cao",
  title =        "Scientific Article Recommendation: Exploiting Common
                 Author Relations and Historical Preferences",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "2",
  number =       "2",
  pages =        "101--112",
  month =        "????",
  year =         "2016",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2555318",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Tue Oct 25 08:33:01 MDT 2016",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
}

@Article{West:2016:RSB,
  author =       "Jevin D. West and Ian Wesley-Smith and Carl T.
                 Bergstrom",
  title =        "A Recommendation System Based on Hierarchical
                 Clustering of an Article-Level Citation Network",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "2",
  number =       "2",
  pages =        "113--123",
  month =        "????",
  year =         "2016",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2541167",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Tue Oct 25 08:33:01 MDT 2016",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
}

@Article{Datta:2016:HLW,
  author =       "Subhajit Datta and Santonu Sarkar and A. S. M.
                 Sajeev",
  title =        "How Long Will This Live? {Discovering} the Lifespans
                 of Software Engineering Ideas",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "2",
  number =       "2",
  pages =        "124--137",
  month =        "????",
  year =         "2016",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2580541",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Tue Oct 25 08:33:01 MDT 2016",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
}

@Article{Yan:2016:DEB,
  author =       "Zheng Yan and Wenxiu Ding and Xixun Yu and Haiqi Zhu
                 and Robert H. Deng",
  title =        "Deduplication on Encrypted Big Data in Cloud",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "2",
  number =       "2",
  pages =        "138--150",
  month =        "????",
  year =         "2016",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2587659",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Tue Oct 25 08:33:01 MDT 2016",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
}

@Article{Hochbaum:2016:SCL,
  author =       "Dorit S. Hochbaum and Philipp Baumann",
  title =        "Sparse Computation for Large-Scale Data Mining",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "2",
  number =       "2",
  pages =        "151--174",
  month =        "????",
  year =         "2016",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2576470",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Tue Oct 25 08:33:01 MDT 2016",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
}

@Article{Khan:2016:UNR,
  author =       "Farhan Khan and Dariush Kari and Ilyas Alper Karatepe
                 and Suleyman S. Kozat",
  title =        "Universal Nonlinear Regression on High Dimensional
                 Data Using Adaptive Hierarchical Trees",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "2",
  number =       "2",
  pages =        "175--188",
  month =        "????",
  year =         "2016",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2555323",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Tue Oct 25 08:33:01 MDT 2016",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
}

@Article{Lin:2016:GES,
  author =       "Y. -R. Lin and H. Tong and J. Tang and K. Sel{\c{c}}uk
                 Candan",
  title =        "Guest Editorial: Special Issue on Big Scholar Data
                 Discovery and Collaboration {(Continued)}",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "2",
  number =       "2",
  pages =        "??--??",
  month =        "????",
  year =         "2016",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2591458",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Tue Oct 25 08:33:01 MDT 2016",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
}

@Article{Sheng:2016:GEB,
  author =       "M. Sheng and A. V. Vasilakos and Q. Yu and L. You",
  title =        "Guest Editorial: Big Data Analytics and the {Web}",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "2",
  number =       "3",
  pages =        "189--189",
  month =        sep,
  year =         "2016",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2613758",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Big data; Data analysis; Internet; Special issues and
                 sections; Web mining",
}

@Article{Shao:2016:CBS,
  author =       "W. Shao and F. D. Salim and A. Song and A.
                 Bouguettaya",
  title =        "Clustering Big Spatiotemporal-Interval Data",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "2",
  number =       "3",
  pages =        "190--203",
  month =        sep,
  year =         "2016",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2599923",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Big Data; big data; Big spatiotemporal-interval Data
                 clustering; CBD area; Clustering; clustering; Energy
                 efficiency; energy function; energy minimization;
                 parking data collection; parking violation; pattern
                 clustering; power aware computing; sensor; Sensors;
                 Spatial temporal interval; Spatial-temporal interval",
}

@Article{Zhao:2016:DGP,
  author =       "Y. Zhao and K. Yoshigoe and J. Bian and M. Xie and Z.
                 Xue and Y. Feng",
  title =        "A Distributed Graph-Parallel Computing System with
                 Lightweight Communication Overhead",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "2",
  number =       "3",
  pages =        "204--218",
  month =        sep,
  year =         "2016",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2532907",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Big data; big data; communication overhead;
                 communication overhead reduction; Computational
                 modeling; data analysis; Distributed graph-parallel
                 computing; distributed graph-parallel computing system;
                 edge direction-aware graph partition strategy; Gather
                 partial sum difference; large-scale graph data;
                 LightGraph; lightweight communication overhead;
                 lightweight Gather communication mechanism; lightweight
                 synchronizing communication; Ligraph; Mirrors;
                 PageRank-like algorithms; parallel processing;
                 Partitioning algorithms; PowerGraph; Runtime;
                 Scalability; Synchronization; Twitter data set",
}

@Article{Wang:2016:KSP,
  author =       "L. Wang and S. Tasoulis and T. Roos and J.
                 Kangasharju",
  title =        "{Kvasir}: Scalable Provision of Semantically Relevant
                 {Web} Content on Big Data Framework",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "2",
  number =       "3",
  pages =        "219--233",
  month =        sep,
  year =         "2016",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2557348",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Apache Spark; automated content provision service; Big
                 data; Big Data; Big Data framework; classic randomized
                 partition tree; content-based filtering; content-based
                 retrieval; document indexing; document searching;
                 Indexing; indexing; information flows; information
                 retrieval; Information retrieval; information retrieval
                 technique; Internet; Internet service; Kvasir
                 architectural design; large text corpora; latent
                 semantic analysis; machine learning; proactive content
                 provision service; random projection; recommender
                 systems; Scalability; semantic recommendation system;
                 semantic relevant Web content; semantic search;
                 semantic Web; Semantics; Sparks; trees (mathematics);
                 Web application; Web browsing; work efficiency",
}

@Article{Chen:2016:ABD,
  author =       "H. Chen and R. Kazman and S. Haziyev",
  title =        "Agile Big Data Analytics for {Web}-Based Systems: An
                 Architecture-Centric Approach",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "2",
  number =       "3",
  pages =        "234--248",
  month =        sep,
  year =         "2016",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2564982",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "AABA; agile practices; architectural spikes;
                 architecture agility; architecture design methods;
                 architecture-centric agile Big Data analytics;
                 architecture-centric approach; Big Data; Big data;
                 Collaboration; collaborative practice research cycles;
                 Computer architecture; CPR cycles; Data analysis; data
                 analysis; Data models; data systems; design concepts
                 catalog; DevOps; Internet; Real-time systems; reference
                 architectures; Software architecture; software
                 architecture; software architecture analysis; software
                 prototyping; System analysis and design; system
                 analysis and design; WBS; Web-based systems",
}

@Article{Pan:2016:ABS,
  author =       "E. Pan and D. Wang and Z. Han",
  title =        "Analyzing Big Smart Metering Data Towards
                 Differentiated User Services: A Sublinear Approach",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "2",
  number =       "3",
  pages =        "249--261",
  month =        sep,
  year =         "2016",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2599924",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Benchmark testing; Big Data; Big data; big smart
                 metering data analysis; classification; Companies;
                 Computational modeling; data analysis; Data models;
                 differentiated user services; electricity usage
                 behaviors; electricity usage distributions; energy
                 consumption; extracted characteristic consumer load
                 shapes; fine-time granularity; historic usage patterns;
                 load profile; power engineering computing; Pricing;
                 Smart meter; Smart meters; smart meters; sublinear
                 algorithm; time-of-use perspective; usage profiles;
                 user service model",
}

@Article{Wu:2016:TRT,
  author =       "L. Wu and K. {John Wu} and A. Sim and M. Churchill and
                 J. Y. Choi and A. Stathopoulos and C. Chang and S.
                 Klasky",
  title =        "Towards Real-Time Detection and Tracking of
                 Spatio-Temporal Features: Blob-Filaments in Fusion
                 Plasma",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "2",
  number =       "3",
  pages =        "262--275",
  month =        sep,
  year =         "2016",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2599929",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Big data; Big data analytics; blob-filaments; Cray
                 XC30 system; data analysis; Data analysis; Detection
                 algorithms; Edison; Electronic mail; extended feature
                 cells grouping; feature extraction; Feature extraction;
                 feature movement tracking; fusion plasma; fusion
                 reactor data; fusion reactors; local feature cells
                 identification; NERSC; physics computing; Plasmas;
                 real-time detection; real-time detection and tracking;
                 Real-time systems; real-time tracking; spatio-temporal
                 feature; spatio-temporal features",
}

@Article{Zheng:2016:VAU,
  author =       "Y. Zheng and W. Wu and Y. Chen and H. Qu and L. M.
                 Ni",
  title =        "Visual Analytics in Urban Computing: An Overview",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "2",
  number =       "3",
  pages =        "276--296",
  month =        sep,
  year =         "2016",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2586447",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "artificial intelligence; data analysis; data
                 exploration; data mining; data mining process; data
                 types; data visualisation; Data visualization; learning
                 (artificial intelligence); machine learning;
                 multivariate; pattern interpretation; Public
                 transportation; Roads; Sensors; Social network
                 services; spatio-temporal; town and country planning;
                 Urban areas; urban computing; Urban computing; urban
                 visual analytics; Visual analytics; visual analytics;
                 visual learning; visualization",
}

@Article{Dong:2016:HDP,
  author =       "L. Dong and Z. Lin and Y. Liang and L. He and N. Zhang
                 and Q. Chen and X. Cao and E. Izquierdo",
  title =        "A Hierarchical Distributed Processing Framework for
                 Big Image Data",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "2",
  number =       "4",
  pages =        "297--309",
  month =        dec,
  year =         "2016",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2613992",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Big Data; Big data; big image data; cloud computing;
                 Cloud computing; cloud computing; Distributed
                 databases; distributed system; dynamic ICP; Heuristic
                 algorithms; hierarchical distributed processing
                 framework; image cloud processing; Image processing;
                 image processing; image representation; ImageNet
                 dataset; Iterative closest point algorithm; MapReduce;
                 P-Image; Parallel processing; parallel processing
                 procedure; parallel programming; static ICP; two novel
                 data representations",
}

@Article{Basanta-Val:2016:ATC,
  author =       "P. Basanta-Val and N. C. Audsley and A. J. Wellings
                 and I. Gray and N. Fern{\'a}ndez-Garc{\'\i}a",
  title =        "Architecting Time-Critical Big-Data Systems",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "2",
  number =       "4",
  pages =        "310--324",
  month =        dec,
  year =         "2016",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2622719",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "application costs; Big Data; Big data; Big-Data
                 analytics; big-data systems; Computational modeling;
                 Computer architecture; data analysis; parallel
                 computations; real-time system community; Social
                 network services; Sparks; Storms; Time factors;
                 Time-critical; time-critical Big-Data system
                 architecture; time-critical infrastructure",
}

@Article{Kit:2016:EIG,
  author =       "D. Kit and Y. Kong and Y. Fu",
  title =        "Efficient Image Geotagging Using Large Databases",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "2",
  number =       "4",
  pages =        "325--338",
  month =        dec,
  year =         "2016",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2600564",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Big data; Clothing; clustering; Databases; density
                 estimation methods; geography; geolocation; Geology;
                 image geotagging; image retrieval; large databases;
                 large image database; LASOM; location aware
                 self-organizing map; online unsupervised clustering
                 method; photo sharing Websites; self-organising feature
                 maps; Self-organizing maps; similarity relationships;
                 Support vector machines; tourism recommendation
                 systems; Urban areas; visual databases; Visualization;
                 Web sites",
}

@Article{Bharill:2016:FBS,
  author =       "N. Bharill and A. Tiwari and A. Malviya",
  title =        "Fuzzy Based Scalable Clustering Algorithms for
                 Handling Big Data Using {Apache Spark}",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "2",
  number =       "4",
  pages =        "339--352",
  month =        dec,
  year =         "2016",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2622288",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Algorithm design and analysis; Apache Spark; Big Data;
                 big data; Big data; Big Data analytics frameworks;
                 Clustering algorithms; Data mining; distributed machine
                 learning; fuzzy based scalable clustering algorithms;
                 Fuzzy clustering; fuzzy set theory; iterative
                 computation; iterative methods; optimisation;
                 Optimization; partitional based clustering algorithms;
                 Partitioning algorithms; pattern clustering; scalable
                 random sampling with iterative optimization fuzzy
                 c-means algorithm; space complexity; Sparks; SRSIO-FCM;
                 time complexity",
}

@Article{Li:2016:PMP,
  author =       "T. Li and J. Tang and J. Xu",
  title =        "Performance Modeling and Predictive Scheduling for
                 Distributed Stream Data Processing",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "2",
  number =       "4",
  pages =        "353--364",
  month =        dec,
  year =         "2016",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2616148",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "application graph; Big Data; continuous query; Data
                 models; Data processing; directed graph; directed
                 graphs; Distributed databases; distributed processing;
                 Distributed stream data processing; distributed stream
                 data processing system; log stream processing; novel
                 predictive scheduling framework; performance modeling;
                 prediction; Predictive models; Queueing analysis;
                 runtime statistics; scheduling; storm; Storm; Storms;
                 Topology; topology-aware prediction method; word
                 count",
}

@Article{Shao:2016:SNN,
  author =       "M. Shao and X. Wu and Y. Fu",
  title =        "Scalable Nearest Neighbor Sparse Graph Approximation
                 by Exploiting Graph Structure",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "2",
  number =       "4",
  pages =        "365--380",
  month =        dec,
  year =         "2016",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2617883",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Approximation algorithms; Approximation error;
                 approximation error; approximation theory; Big data;
                 Clustering algorithms; graph structure; graph theory;
                 inter-graph; intra-graph; intra-graphs; Kernel; kernel
                 learning; Laplace equations; learning (artificial
                 intelligence); manifold learning; nearest neighbor
                 graph; novel sparse inter-graph approximation
                 algorithm; Scalable graph approximation; scalable
                 nearest neighbor sparse graph approximation; Sparse
                 matrices; spectral clustering",
}

@Article{Nabavinejad:2016:MCR,
  author =       "S. M. Nabavinejad and M. Goudarzi and S. Mozaffari",
  title =        "The Memory Challenge in Reduce Phase of {MapReduce}
                 Applications",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "2",
  number =       "4",
  pages =        "380--386",
  month =        dec,
  year =         "2016",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2607756",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Benchmark testing; Big data; Big Data; Big Data
                 processing; big data processing; Degradation; Hadoop;
                 Indexes; intermediate data generation; Map tasks;
                 MapReduce; MapReduce applications; memory challenge;
                 Memory management; memory-aware approach;
                 memory-awareness; Mnemonic approach; parallel
                 programming; profiling mechanism; PUMA benchmark;
                 Random access memory; Reduce tasks; storage management;
                 Tuning",
}

@Article{Yang:2017:SJE,
  author =       "Q. Yang",
  title =        "State of the Journal Editorial",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "3",
  number =       "1",
  pages =        "1--1",
  month =        mar,
  year =         "2017",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2660258",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
}

@Article{Lin:2017:GEB,
  author =       "Y. Lin and H. Tong and J. Tang and K. S. Candan",
  title =        "Guest Editorial: Big Scholar Data Discovery and
                 Collaboration",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "3",
  number =       "1",
  pages =        "2--2",
  month =        mar,
  year =         "2017",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2663878",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Collaboration; Information retrieval; Knowledge
                 discovery; Special issues and sections",
}

@Article{Datta:2017:HHE,
  author =       "S. Datta and P. Basuchowdhuri and S. Acharya and S.
                 Majumder",
  title =        "The Habits of Highly Effective Researchers: An
                 Empirical Study",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "3",
  number =       "1",
  pages =        "3--17",
  month =        mar,
  year =         "2017",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2611668",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Algorithm design and analysis; AMiner Paper Citation;
                 artificial intelligence; Author Collaboration Networks;
                 Bibliometrics; Big data; citation analysis;
                 co-authorship networks; Collaboration; Context;
                 databases; dominating sets; empirical examination;
                 graph algorithms; influential individuals cuts;
                 influential vertices; Measurement; networking;
                 operating systems; social network analysis; Social
                 network services; social networking (online); software
                 engineering",
}

@Article{Xia:2017:BSD,
  author =       "F. Xia and W. Wang and T. M. Bekele and H. Liu",
  title =        "Big Scholarly Data: A Survey",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "3",
  number =       "1",
  pages =        "18--35",
  month =        mar,
  year =         "2017",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2641460",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "academic recommendation; academic social networks;
                 Bibliographies; Big Data; Big data; big scholarly data;
                 citation analysis; content analysis; Crawlers; data
                 analysis; Data analysis; data analysis methods; Data
                 mining; digital publishing; expert finding; Libraries;
                 Metadata; Scholarly data; scholarly data management;
                 scholarly information analysis; scholarly information
                 harvesting; scholarly information management; scholarly
                 networks; science of science; scientific impact
                 evaluation; social network analysis; Social network
                 services; social networking (online); statistical
                 analysis",
}

@Article{Wang:2017:GEB,
  author =       "J. Wang and G. Qi and N. Sebe and C. Aggarwal",
  title =        "Guest Editorial: Big Media Data: Understanding,
                 Search, and Mining",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "3",
  number =       "1",
  pages =        "36--36",
  month =        mar,
  year =         "2017",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2665161",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Big data; Image classification; Image processing;
                 Market research; Media; Object recognition; Special
                 issues and sections",
}

@Article{Chen:2017:LCF,
  author =       "K. Chen and Z. Zhang",
  title =        "Learning to Classify Fine-Grained Categories with
                 Privileged Visual-Semantic Misalignment",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "3",
  number =       "1",
  pages =        "37--43",
  month =        mar,
  year =         "2017",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2602231",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "computer vision; Computer vision; Correlation;
                 cost-sensitive learning; cost-sensitive learning
                 framework; deep feature; feature extraction; Feature
                 extraction; feature inconsistency; fine-grained
                 categories; Fine-grained categorisation; fine-grained
                 class labels correlation; image categorisation; image
                 classification; image representation; imagery feature
                 representation variation; interclass variation;
                 intraclass variation; learning (artificial
                 intelligence); multiclass classification; Neural
                 networks; privileged visual-semantic misalignment;
                 robust classification framework; semantic content;
                 semantic label embedding; semantic label embedding
                 space; Semantics; Training; visual feature space;
                 visual-semantic alignment; Visualization",
}

@Article{Chen:2017:ROP,
  author =       "Z. Chen and W. Zhang and B. Hu and X. Cao and S. Liu
                 and D. Meng",
  title =        "Retrieving Objects by Partitioning",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "3",
  number =       "1",
  pages =        "44--54",
  month =        mar,
  year =         "2017",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2566664",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "background-interference; Big Data; Big data; big data
                 retrieval; cluttered background; Context; coverage;
                 feature coding; feature extraction; fine partitioning;
                 image coding; Image coding; image collection; image
                 representation; image retrieval; Indexes; Interference;
                 maximum objectness score; minimum redundancy; object
                 detection; object level connectivity; object proposal;
                 object proposals; Object retrieval; object retrieval
                 benchmark datasets; object retrieval technique;
                 partitioned objects; partitioned proposals;
                 partitioning; Proposals; query object; reference
                 images; reranking; Visualization",
}

@Article{Hu:2017:TTC,
  author =       "T. Hu and E. Bigelow and J. Luo and H. Kautz",
  title =        "Tales of Two Cities: Using Social Media to Understand
                 Idiosyncratic Lifestyles in Distinctive Metropolitan
                 Areas",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "3",
  number =       "1",
  pages =        "55--66",
  month =        mar,
  year =         "2017",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2580542",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Big Data; Big data; Correlation; freely available
                 social media data; Greater New York City area; Greater
                 Rochester area; human behavior patterns; idiosyncratic
                 lifestyles; Lifestyles; matrix decomposition; matrix
                 factor analysis; Media; mental lives; metropolitan
                 area; physical lives; salient mobility; social
                 computing; social groups; social networking (online);
                 Sociology; Tensile stress; United States; unsupervised
                 method; Urban areas; urban computing; workrest
                 patterns",
}

@Article{Zhao:2017:SRP,
  author =       "G. Zhao and X. Qian and C. Kang",
  title =        "Service Rating Prediction by Exploring Social Mobile
                 Users Geographical Locations",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "3",
  number =       "1",
  pages =        "67--78",
  month =        mar,
  year =         "2017",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2552541",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Big data; data mining; fundamentally enhanced social
                 networks; geographic information systems; geographical
                 information; geographical location; Geographical
                 location; intelligent mobile device; location data
                 functions; location-based social networks; Mobile
                 communication; mobile computing; positioning
                 techniques; Predictive models; rating prediction;
                 recommender system; Recommender systems; recommender
                 systems; service rating prediction; smart phone; Smart
                 phones; social mobile users; Social network services;
                 social networking (online); social rating network
                 dataset Yelp; unified rating prediction model;
                 user-item geographical connection; user-user
                 geographical connection; virtual social networks; Web
                 services",
}

@Article{Singh:2017:DSD,
  author =       "D. Singh and D. Roy and C. K. Mohan",
  title =        "{DiP-SVM}: Distribution Preserving Kernel Support
                 Vector Machine for Big Data",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "3",
  number =       "1",
  pages =        "79--90",
  month =        mar,
  year =         "2017",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2646700",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Big Data; Big data; big data; classification accuracy;
                 cloud computing; cloud environments; clustering;
                 DiP-SVM; distributed computing; distributed support
                 vector machine techniques; Distributed SVM;
                 distribution preserving kernel support vector machine;
                 distribution preserving partitioning; first order
                 statistics; global support vectors; Indexes; Kernel;
                 learning (artificial intelligence); local support
                 vectors; pattern classification; Quadratic programming;
                 second order statistics; sequential support vector
                 machine; statistics; Support vector machines; support
                 vector machines; Training; Training data",
}

@Article{Shen:2017:SOS,
  author =       "H. Shen and G. Liu and H. Wang and N. Vithlani",
  title =        "{SocialQ\&A}: An Online Social Network Based Question
                 and Answer System",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "3",
  number =       "1",
  pages =        "91--106",
  month =        mar,
  year =         "2017",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2629487",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "answer quality; Big data; common-interest friend
                 relationship; Computers; data privacy; high quality
                 answers; information search; Knowledge engineering;
                 mutual-trust friend relationship; online social network
                 based question and answer system; Privacy; Question and
                 answer systems; question answering (information
                 retrieval); recurrent questions; Search engines;
                 Security; short answer; Social network services; social
                 networking (online); social networks; SocialQ&A; user
                 privacy; user security",
}

@Article{Zhao:2017:TEF,
  author =       "D. Zhao and K. Qiao and Z. Zhou and T. Li and Z. Lu
                 and X. Xu",
  title =        "Toward Efficient and Flexible Metadata Indexing of Big
                 Data Systems",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "3",
  number =       "1",
  pages =        "107--117",
  month =        mar,
  year =         "2017",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2640301",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Big Data; Big data; Big Data systems; Big data
                 systems, high-performance computing, indexing; big
                 metadata; Buildings; Computer science; data locality;
                 Dindex; distributed databases; distributed file system;
                 distributed metadata indexing service; Electronic mail;
                 flexible metadata indexing; hierarchical indirection
                 layers; high-performance computing; Indexing; indexing;
                 lightweight distributed key-value store; load-balance;
                 meta data; Metadata; metadata queries; parallel
                 processing; resource allocation",
}

@Article{Anonymous:2017:RL,
  author =       "Anonymous",
  title =        "2016 Reviewers List*",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "3",
  number =       "1",
  pages =        "118--123",
  month =        mar,
  year =         "2017",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2653298",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "IEEE publishing",
}

@Article{Anonymous:2017:IIT,
  author =       "Anonymous",
  title =        "2016 Index {{\booktitle{IEEE Transactions on Big
                 Data}}} Vol. 2",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "3",
  number =       "1",
  pages =        "1--6",
  month =        mar,
  year =         "2017",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2658578",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
}

@Article{Zheng:2017:GEU,
  author =       "Y. Zheng and C. Mascolo and C. T. Silva",
  title =        "Guest Editorial: Urban Computing",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "3",
  number =       "2",
  pages =        "124--125",
  month =        jun,
  year =         "2017",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2699838",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Biological system modeling; Computer applications;
                 Data visualization; Global Positioning System; Mobile
                 handsets; Sensors; Special issues and sections;
                 Tracking; Traffic congestion; Urban areas",
}

@Article{Ding:2017:DAU,
  author =       "Y. Ding and Y. Li and K. Deng and H. Tan and M. Yuan
                 and L. M. Ni",
  title =        "Detecting and Analyzing Urban Regions with High Impact
                 of Weather Change on Transport",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "3",
  number =       "2",
  pages =        "126--139",
  month =        jun,
  year =         "2017",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2623320",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "feature extraction; Feature extraction; Indexes; key
                 factor analysis; meteorology; Meteorology; Public
                 transportation; regional weather-traffic sensitivity
                 index; Roads; Shanghai; town and country planning;
                 traffic engineering computing; traffic prediction;
                 Trajectory analysis; transport; Urban areas; urban
                 computing; urban planners; urban region analysis; urban
                 region detection; urban region traffic; Vehicles;
                 weather change; weather-traffic index; weather-traffic
                 index system; weather-traffic indices extraction; WTI
                 system",
}

@Article{Tang:2017:SLH,
  author =       "X. Tang and E. Eftelioglu and D. Oliver and S.
                 Shekhar",
  title =        "Significant Linear Hotspot Discovery",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "3",
  number =       "2",
  pages =        "140--153",
  month =        jun,
  year =         "2017",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2631518",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Accidents; Diseases; Euclidean space; Heuristic
                 algorithms; Hotspot detection; hotspot detection
                 approaches; Monte Carlo speedup; neighbor node filter;
                 public safety; road safety; Roads; Safety; shortest
                 path tree pruning; significant linear hotspot
                 discovery; SLHD; spatial data mining; Spatial
                 databases; spatial networks; statistical analysis;
                 statistical significance; traffic engineering
                 computing; transportation; transportation safety",
}

@Article{Goel:2017:OPP,
  author =       "P. Goel and L. Kulik and K. Ramamohanarao",
  title =        "Optimal Pick up Point Selection for Effective Ride
                 Sharing",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "3",
  number =       "2",
  pages =        "154--168",
  month =        jun,
  year =         "2017",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2599936",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "1-coverage problem; Automobiles; car occupancy rates;
                 computational geometry; data privacy; drop off
                 locations; dynamic ride sharing; GRASP; greedy
                 algorithms; greedy randomized adaptive search
                 procedure; k-anonymity model; optimal pick up point
                 selection; optimization; Pareto front; Pareto
                 optimisation; pick up locations; Privacy; randomised
                 algorithms; ride sharing; road networks; road traffic;
                 Roads; Safety; search problems; Sociology; spatial
                 databases and GIS; Statistics; traffic engineering
                 computing; user privacy; user safety; video
                 surveillance; Voronoi diagrams",
}

@Article{Nguyen:2017:DCP,
  author =       "H. Nguyen and W. Liu and F. Chen",
  title =        "Discovering Congestion Propagation Patterns in
                 Spatio-Temporal Traffic Data",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "3",
  number =       "2",
  pages =        "169--180",
  month =        jun,
  year =         "2017",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2587669",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Bayes methods; Big data; causal; Congestion
                 propagation; congestion propagation pattern discovery;
                 data mining; Data models; dynamic Bayesian network;
                 Heuristic algorithms; Hidden Markov models; knowledge
                 discovery community; probability; road capacity; road
                 network; Roads; Sensors; spatio-temporal;
                 spatio-temporal congestions; spatio-temporal traffic
                 data; traffic congestion; traffic engineering
                 computing; travel time data set; trees (mathematics);
                 urban computing and planning; urban road network",
}

@Article{Sarkar:2017:EUS,
  author =       "S. Sarkar and S. Chawla and S. Ahmad and J. Srivastava
                 and H. Hammady and F. Filali and W. Znaidi and J.
                 Borge-Holthoefer",
  title =        "Effective Urban Structure Inference from Traffic Flow
                 Dynamics",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "3",
  number =       "2",
  pages =        "181--193",
  month =        jun,
  year =         "2017",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2641003",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Bluetooth sensors; convex optimization; dense
                 functional matrices; effective and functional
                 connectivity; inference mechanisms; Network structure
                 discovery; optimal sparse representations; Planning;
                 Real-time systems; Roads; science of cities; Sensors;
                 Sparse matrices; temporal granularity; time-varying
                 effective traffic connectivity; town and country
                 planning; traffic engineering computing; traffic flow
                 dynamics; traffic flow representation; traffic
                 planning; Urban areas; urban mobility; urban planning;
                 urban structure inference; Vehicle dynamics",
}

@Article{Le:2017:LGP,
  author =       "T. V. Le and R. Oentaryo and S. Liu and H. C. Lau",
  title =        "Local {Gaussian} Processes for Efficient Fine-Grained
                 Traffic Speed Prediction",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "3",
  number =       "2",
  pages =        "194--207",
  month =        jun,
  year =         "2017",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2620488",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Big Data; Big data; big traffic data; cubic time
                 complexity; fine-grained traffic speed prediction;
                 Gaussian process; Gaussian processes; GP; GP kernel
                 functions; local Gaussian processes; matrix
                 decomposition; matrix factorization; nonnegative matrix
                 factorization; Predictive models; road traffic; Roads;
                 Sensors; spatiotemporal clustering; Spatiotemporal
                 phenomena; spatiotemporally varying traffic speed;
                 traffic engineering computing; traffic phenomena;
                 traffic speed; transportation; Urban areas; urban
                 computing; urban development; urban planning; urban
                 transportation system",
}

@Article{Jiang:2017:ABH,
  author =       "S. Jiang and J. Ferreira and M. C. Gonzalez",
  title =        "Activity-Based Human Mobility Patterns Inferred from
                 Mobile Phone Data: A Case Study of {Singapore}",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "3",
  number =       "2",
  pages =        "208--219",
  month =        jun,
  year =         "2017",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2631141",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "activity-based approach; activity-based human mobility
                 patterns; anonymous users; CDR; data mining; Data
                 mining; digital simulation; fiscal resources; future
                 sustainable development; human mobility networks;
                 individual mobility networks; innovative data mining
                 framework; mobile computing; Mobile handsets; mobile
                 phone call detail record data; Mobile phone data;
                 mobile phone data; mobility motif detection; Planning;
                 public sector; shrinking labor; Singapore; Sociology;
                 spatial human mobility patterns; Statistics;
                 sustainable development; town and country planning;
                 traffic engineering computing; trajectory data mining;
                 Transportation; transportation planning practice;
                 transportation planning purposes; travel survey data;
                 ubiquitous mobile sensing; Urban areas; urban
                 computing; urban microsimulations; urban planning
                 purposes",
}

@Article{Celikten:2017:MUB,
  author =       "E. {\c{C}}elikten and G. {Le Falher} and M.
                 Mathioudakis",
  title =        "Modeling Urban Behavior by Mining Geotagged Social
                 Data",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "3",
  number =       "2",
  pages =        "220--233",
  month =        jun,
  year =         "2017",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2628398",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Analytical models; Bars; behavioural sciences
                 computing; Big data; cities; city regions; data mining;
                 Data models; Foursquare data; geotagged social data
                 mining; importance features; location based social
                 network; location-based social networks; Probabilistic
                 logic; probabilistic modeling approach; probability;
                 Social network services; social networking (online);
                 town and country planning; Urban areas; urban behavior
                 modeling; Urban computing; urban dwellers; user
                 activity",
}

@Article{Lu:2017:VAM,
  author =       "M. Lu and C. Lai and T. Ye and J. Liang and X. Yuan",
  title =        "Visual Analysis of Multiple Route Choices Based on
                 General {GPS} Trajectories",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "3",
  number =       "2",
  pages =        "234--247",
  month =        jun,
  year =         "2017",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2667700",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "behavioural sciences; Big data; data analysis; Data
                 mining; data visualisation; Data visualization; general
                 trajectory dataset; Global Positioning System;
                 graphical trajectory query; information filtering;
                 integrated route choice model; interaction; interactive
                 trajectory filtering; large-scale trajectory data
                 handling; multiple route choice behaviour; query
                 processing; Route choice behaviour; route choice model;
                 spatial visualization; system performance; taxi GPS
                 dataset; traffic engineering computing; Trajectory;
                 transportation; transportation area; Vehicles; visual
                 analysis; visual analytic system; Visualization",
}

@Article{Sidhanta:2017:ASA,
  author =       "S. Sidhanta and W. Golab and S. Mukhopadhyay and S.
                 Basu",
  title =        "Adaptable {SLA}-Aware Consistency Tuning for
                 Quorum-Replicated Datastores",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "3",
  number =       "3",
  pages =        "248--261",
  month =        sep,
  year =         "2017",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2656121",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "adaptable SLA-aware consistency tuning; availability;
                 Big data; client-centric consistency; contracts;
                 decision tree learning; decision trees; Distributed
                 databases; distributed datastores; distributed file
                 systems; distributed systems; learning (artificial
                 intelligence); machine learning; machine learning-based
                 predictive framework; Mathematical model; middleware;
                 OptCon; performance evaluation; Predictive models;
                 quorum-based replication; quorum-replicated datastores;
                 reliability; replicated databases; Runtime; service
                 level agreement; serviceability; staleness thresholds;
                 storage management; storage management high
                 availability; storage operation; Throughput; Tuning;
                 user-specified latency",
}

@Article{Chan:2017:DSL,
  author =       "Y. Chan and A. Wellings and I. Gray and N. Audsley",
  title =        "A Distributed Stream Library for {Java 8}",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "3",
  number =       "3",
  pages =        "262--275",
  month =        sep,
  year =         "2017",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2666201",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib;
                 http://www.math.utah.edu/pub/tex/bib/java2010.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "application program interfaces; Big Data; Big data;
                 Big Data systems; Computational modeling; Data models;
                 data-parallel computing; distributed computing;
                 distributed stream library; Hadoop; Java; Java 8
                 Streams API; parallel processing; Pipelines;
                 Programming; programming models; Spark; Sparks",
}

@Article{Chopade:2017:FCD,
  author =       "P. Chopade and J. Zhan",
  title =        "A Framework for Community Detection in Large Networks
                 Using Game-Theoretic Modeling",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "3",
  number =       "3",
  pages =        "276--288",
  month =        sep,
  year =         "2017",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2628725",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "adjacency; Big data; clustering; community detection;
                 community network analysis; community network quality;
                 community partitioning; Complex networks; Detection
                 algorithms; fitness function; game theory; Game theory;
                 game-theoretic community detection algorithm;
                 game-theoretic modeling; Games; Laplacian; large
                 network analysis; large-scale networks; modified
                 adjacency; modified Laplacian matrices; modified
                 modularity; modularity; modularity measure; Nash
                 equilibrium; Nash stable partition; neighborhood
                 similarity; NGTCDA; normalized mutual information;
                 Optimization; regular complex networks; similarity;
                 Social network services; social networking (online);
                 strategic game; synthetic complex networks",
}

@Article{Agreste:2017:ECA,
  author =       "S. Agreste and P. {De Meo} and G. Fiumara and G.
                 Piccione and S. Piccolo and D. Rosaci and G. M. L.
                 Sarn{\'e} and A. V. Vasilakos",
  title =        "An Empirical Comparison of Algorithms to Find
                 Communities in Directed Graphs and Their Application in
                 {Web} Data Analytics",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "3",
  number =       "3",
  pages =        "289--306",
  month =        sep,
  year =         "2017",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2631512",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Algorithm design and analysis; Big data; community
                 detection algorithms; community detection and
                 clustering; Data analysis; data analysis; Detection
                 algorithms; directed graphs; edge directionality;
                 eigenvector; graph analytics; Image edge detection;
                 Infomap; Internet; label propagation; Microscopy;
                 WalkTrap; Web data analytics; Web sites; Web-based
                 systems",
}

@Article{Zhu:2017:EST,
  author =       "J. Y. Zhu and C. Sun and V. O. K. Li",
  title =        "An Extended Spatio-Temporal {Granger} Causality Model
                 for Air Quality Estimation with Heterogeneous Urban Big
                 Data",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "3",
  number =       "3",
  pages =        "307--319",
  month =        sep,
  year =         "2017",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2651898",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "air pollution; Air pollution; air quality; air quality
                 estimation; air quality monitoring stations;
                 Atmospheric modeling; Big Data; big data; Big data;
                 causality; city-wide air quality estimation;
                 computational complexity; data analysis; data
                 diversity; environmental monitoring (geophysics);
                 environmental science computing; Estimation; extended
                 spatio-temporal Granger causality model; Granger
                 causality; grid computing; grid-based algorithm;
                 heterogeneous; heterogeneous urban big data;
                 Monitoring; region of influence; ROI; spatio-temporal
                 (ST); town and country planning; Vehicle dynamics",
}

@Article{Tian:2017:DIS,
  author =       "Y. Tian and I. Alagiannis and E. Liarou and A.
                 Ailamaki and P. Michiardi and M. {Vukoli }",
  title =        "{DiNoDB}: An Interactive-Speed Query Engine for Ad-Hoc
                 Queries on Temporary Data",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "3",
  number =       "3",
  pages =        "320--333",
  month =        sep,
  year =         "2017",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2637356",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "ad-hoc interactive analytics; ad-hoc queries;
                 analytics applications; Batch production systems; Big
                 data; Computer architecture; Data analysis; data
                 exploration use cases; data handling; data sets;
                 DiNoDB; Engines; heavy batch processing jobs; indexing
                 methods; interactive analytics solutions;
                 interactive-speed query engine; learning (artificial
                 intelligence); Loading; machine learning; metadata;
                 Metadata; modern workflows; Parallel databases;
                 piggyback; query processing; RDBMS; relational
                 databases; temporary data",
}

@Article{Wu:2017:EED,
  author =       "B. Wu and H. Shen",
  title =        "Exploiting Efficient Densest Subgraph Discovering
                 Methods for Big Data",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "3",
  number =       "3",
  pages =        "334--348",
  month =        sep,
  year =         "2017",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2625307",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Algorithm design and analysis; Approximation
                 algorithms; Big Data; Big data; Big Data; Clustering
                 algorithms; Complex networks; Computers; densest
                 subgraph discovering methods; graph analysis; graph
                 theory; heuristic algorithm; Heuristic algorithms;
                 MapReduce; natural graphs; Social network, big graph,
                 data analysis; undirected graphs",
}

@Article{Ota:2017:SST,
  author =       "M. Ota and H. Vo and C. Silva and J. Freire",
  title =        "{STaRS}: Simulating Taxi Ride Sharing at Scale",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "3",
  number =       "3",
  pages =        "349--361",
  month =        sep,
  year =         "2017",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2627223",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Big data; computational complexity; Computational
                 modeling; gasoline consumption; optimisation;
                 optimization; policy makers; pollution; Public
                 transportation; Real-time systems; resource
                 consumption; Roads; scalability; shortest-path index;
                 simulating taxi ride sharing; simulation; STaRS; Taxi
                 ride sharing; traffic congestion reduction; traffic
                 engineering computing; transportation; Urban areas;
                 urban computing; urban populations; Vehicles",
}

@Article{Zhang:2017:TPD,
  author =       "D. Zhang and T. He and S. Lin and S. Munir and J. A.
                 Stankovic",
  title =        "Taxi-Passenger-Demand Modeling Based on Big Data from
                 a Roving Sensor Network",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "3",
  number =       "3",
  pages =        "362--374",
  month =        sep,
  year =         "2017",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2627224",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Big Data; big data; Big data; big transportation data;
                 Data models; demand modeling; Dmodel; Global
                 Positioning System; Hidden Markov models; Manuals;
                 mobile computing; pickup pattern; public transport;
                 real-time analysis; real-time mobile sensors; Real-time
                 systems; real-time systems; roving sensor network;
                 taxi-passenger-demand modeling; taxicab business;
                 Taxicab system; traffic information systems; Training",
}

@Article{Zhu:2017:SIB,
  author =       "J. Zhu and A. Liu and M. Chen and T. Tasdizen and H.
                 Su",
  title =        "Special Issue on Biomedical Big Data: Understanding,
                 Learning and Applications",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "3",
  number =       "4",
  pages =        "375--377",
  month =        dec,
  year =         "2017",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2772930",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Big Data; Biomedical imaging; Brain computer
                 interfaces; Computer vision; Image segmentation;
                 Neuroimaging; Special issues and sections",
}

@Article{Liu:2017:GRE,
  author =       "F. Liu and J. Rosenberger and Y. Lou and R. Hosseini
                 and J. Su and S. Wang",
  title =        "Graph Regularized {EEG} Source Imaging with In-Class
                 Consistency and Out-Class Discrimination",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "3",
  number =       "4",
  pages =        "378--391",
  month =        dec,
  year =         "2017",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2756664",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Big Data; brain activity; Brain modeling; brain source
                 activation pattern; brain states; discriminative
                 source; EEG data; EEG inverse problem; EEG source
                 imaging; electrical potentials; electroencephalography;
                 Electroencephalography; graph regularization; graph
                 regularization term; graph regularized EEG source
                 imaging; Imaging; inverse problem; Inverse problems;
                 inverse problems; Laplacian graph regularized
                 discriminative source reconstruction; medical signal
                 processing; neurophysiology; out-class discrimination;
                 Scalp; signal reconstruction; sparse representation;
                 spatial total variation regularization term",
}

@Article{Hosseini:2017:ODL,
  author =       "M. Hosseini and D. Pompili and K. Elisevich and H.
                 Soltanian-Zadeh",
  title =        "Optimized Deep Learning for {EEG} Big Data and Seizure
                 Prediction {BCI} via {Internet of Things}",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "3",
  number =       "4",
  pages =        "392--404",
  month =        dec,
  year =         "2017",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2769670",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "automatic computing; BCI; BCI seizure prediction; Big
                 Data; brain-computer interface; Brain-computer
                 interfaces; brain-computer interfaces; cloud computing;
                 Cloud computing; cloud computing; cloud-computing
                 solution; deep learning; diseases; ECoG clinical
                 datasets; EEG big data; electrode contacts; Electrodes;
                 Electroencephalography; electroencephalography;
                 electrographic ictal behavior; Epilepsy; epilepsy;
                 epileptic seizure prediction; extended optimization
                 approach; Feature extraction; feature extraction; ictal
                 patterns; independent component analysis; learning
                 (artificial intelligence); manually extracted features;
                 medical signal processing; medically refractory
                 patients; neural nets; neurophysiology; optimized deep;
                 patient-specific BCI; prediction task; Predictive
                 models; principal component analysis; real-time
                 processing; real-time solutions; Real-time systems;
                 seizure prediction and localization; seizure prediction
                 BCI; significant processing delays",
}

@Article{Zhu:2017:LRG,
  author =       "X. Zhu and H. Suk and H. Huang and D. Shen",
  title =        "Low-Rank Graph-Regularized Structured Sparse
                 Regression for Identifying Genetic Biomarkers",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "3",
  number =       "4",
  pages =        "405--414",
  month =        dec,
  year =         "2017",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2735991",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "ADNI dataset; Alzheimer disease neuroimaging
                 initiative dataset; Alzheimer s disease; Alzheimer's
                 disease; Big Data; brain; brain imaging features;
                 Brain-computer interfaces; brain-wide association
                 study; diseases; feature selection; genetic biomarker
                 identification; genetic features; genetic variables;
                 Genetics; genetics; genome-wide association study;
                 genomics; graph theory; image representation;
                 imaging-genetic analysis; Input variables; learning
                 (artificial intelligence); low-rank constraint;
                 low-rank graph-regularized structured sparse regression
                 method; low-rank matrix decomposition; low-rank
                 regression; low-rank representations; low-sparsity
                 weight coefficients; medical image processing;
                 Neuroimaging; objective function; Regression analysis;
                 regression analysis; representative SNPs; sparse
                 acyclic digraph; sparsity-inducing penalty; variable
                 selection; weight coefficient matrix",
}

@Article{Phinyomark:2017:RSF,
  author =       "A. Phinyomark and E. Ib{\'a}{\~n}ez-Marcelo and G.
                 Petri",
  title =        "Resting-State {fMRI} Functional Connectivity: Big Data
                 Preprocessing Pipelines and Topological Data Analysis",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "3",
  number =       "4",
  pages =        "415--428",
  month =        dec,
  year =         "2017",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2734883",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "algebraic topology; Big Data; Big data; big data
                 preprocessing pipelines; biomedical MRI; brain; Brain
                 computer interfaces; brain diseases; brain disorders;
                 brain network; brain networks; Data analysis; diseases;
                 functional connectivity; functional magnetic resonance
                 imaging; graph theory; Magnetic resonance imaging;
                 medical disorders; medical image processing;
                 Neuroimaging; neuroimaging technologies;
                 neurophysiology; Pipelines; preprocessing pipeline;
                 preprocessing steps; resting-state fMRI; resting-state
                 fMRI functional connectivity; rfMRI functional
                 connectivity; topological data analysis",
}

@Article{Li:2017:DOT,
  author =       "M. Li and Z. Yin",
  title =        "Debugging Object Tracking by a Recommender System with
                 Correction Propagation",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "3",
  number =       "4",
  pages =        "429--442",
  month =        dec,
  year =         "2017",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2723022",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Algorithm design and analysis; automated object
                 tracking results; automated tracking algorithms
                 object-by-object; Big Data; biological discovery;
                 Biological object tracking; Biomedical imaging; data
                 debugging; Debugging; different annotators; existing
                 visual tracking approaches; health diagnosis; human in
                 the loop; humans debug tracking results; image
                 sequences; joint correction propagation; multiple human
                 annotators; Object tracking; object tracking; perfect
                 tracking accuracy; program debugging; recommender
                 system; Recommender systems; recommender systems;
                 tracking data; Trajectory; Visualization",
}

@Article{Liu:2017:MDP,
  author =       "A. Liu and Y. Lu and M. Chen and Y. Su",
  title =        "Mitosis Detection in Phase Contrast Microscopy Image
                 Sequences of Stem Cell Populations: A Critical Review",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "3",
  number =       "4",
  pages =        "443--457",
  month =        dec,
  year =         "2017",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2721438",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "advanced imaging technologies; Big Data; big data;
                 biological researches; biomedical applications;
                 biomedical Big Data; biomedical image; cellular
                 biophysics; Computer architecture; Computer vision;
                 computer vision; deep learning architecture; deep
                 learning based approaches; human eye; hybrid methods;
                 Image sequences; image sequences; learning (artificial
                 intelligence); medical image processing; Microscopy;
                 microscopy; microscopy image; mitosis detection;
                 Mitosis detection; mitotic cell detection; object
                 detection; object tracking; phase contrast microscopy
                 image sequences; Statistics; stem cell; stem cell
                 populations; Stem cells; tracking based method;
                 tracking free methods",
}

@Article{Nie:2017:MTI,
  author =       "W. Nie and H. Cheng and Y. Su",
  title =        "Modeling Temporal Information of Mitotic for Mitotic
                 Event Detection",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "3",
  number =       "4",
  pages =        "458--469",
  month =        dec,
  year =         "2017",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2723395",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "automated mitosis detection; biology computing; C2C12;
                 C3H10; cell division; computer vision; Data models;
                 enormous potential influence; F; Feature extraction;
                 feature extraction; image motion analysis; image
                 representation; learning (artificial intelligence);
                 low-level feature extraction methods; machine learning
                 methods; Microscopy; microscopy image analysis; mitosis
                 detection; Mitosis recognition; mitotic event
                 detection; object recognition; ranking functions;
                 ranking machine; rapidly growing interest; sequential
                 image analysis; Stem cells; stem cells proliferate;
                 traditional computer vision technology; traditional
                 mitosis recognition methods; Trajectory; video
                 representation; Video sequences; video-wide temporal
                 information; Visualization",
}

@Article{Yang:2018:SJE,
  author =       "Q. Yang",
  title =        "State of the Journal Editorial",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "4",
  number =       "1",
  pages =        "1--1",
  month =        mar,
  year =         "2018",
  DOI =          "https://doi.org/10.1109/TBDATA.2018.2801232",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
}

@Article{Wan:2018:GMS,
  author =       "Z. Wan and H. He and B. Tang",
  title =        "A Generative Model for Sparse Hyperparameter
                 Determination",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "4",
  number =       "1",
  pages =        "2--10",
  month =        mar,
  year =         "2018",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2689790",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Big Data; data mining; Data mining; data mining
                 community; feature extraction; Feature extraction;
                 feature extractor; generative model; Image
                 reconstruction; machine learning; pattern clustering;
                 Probabilistic logic; Shape; Sparse autoencoder; sparse
                 autoencoder hidden units; sparse hyperparameter;
                 Supervised learning; traditional sparse hyperparameter
                 determination method; unsupervised learning",
}

@Article{Win:2018:BDB,
  author =       "T. Y. Win and H. Tianfield and Q. Mair",
  title =        "Big Data Based Security Analytics for Protecting
                 Virtualized Infrastructures in Cloud Computing",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "4",
  number =       "1",
  pages =        "11--25",
  month =        mar,
  year =         "2018",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2715335",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "advanced attacks; attack features extraction; belief
                 propagation; Big Data; big data based security
                 analytics; cloud computing; Cloud computing; cloud
                 computing; cloud security; Correlation; Databases;
                 event correlation; Feature extraction; feature
                 extraction; graph theory; graph-based event
                 correlation; guest virtual machines; Hadoop Distributed
                 File System; HDFS; invasive software; learning
                 (artificial intelligence); logistic regression;
                 Malware; malware detection; MapReduce parser based
                 identification; network logs; parallel processing;
                 potential attack paths; random functions; rootkit
                 detection; Security; security analytics; security
                 analytics approach; two-step machine learning; user
                 application logs; virtual machines; virtualisation;
                 virtualization security; Virtualized infrastructure;
                 virtualized infrastructures",
}

@Article{Salinas:2018:ESO,
  author =       "S. Salinas and C. Luo and X. Chen and W. Liao and P.
                 Li",
  title =        "Efficient Secure Outsourcing of Large-Scale Sparse
                 Linear Systems of Equations",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "4",
  number =       "1",
  pages =        "26--39",
  month =        mar,
  year =         "2018",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2679760",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Amazon Elastic Compute Cloud; big data; Big Data; Big
                 data; client privacy protection; cloud computing; Cloud
                 computing; cloud computing; Complexity theory;
                 computational complexity; Data privacy; data privacy;
                 data protection; expensive computing tasks; large-scale
                 SLSEs; large-scale sparse linear systems of equations;
                 memory I/O complexity; outsourcing; Outsourcing;
                 outsourcing schemes; privacy; Random access memory;
                 secure outsourcing algorithm; Sparse linear systems of
                 equations; Sparse matrices",
}

@Article{Antaris:2018:MSI,
  author =       "S. Antaris and D. Rafailidis",
  title =        "In-Memory Stream Indexing of Massive and Fast Incoming
                 Multimedia Content",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "4",
  number =       "1",
  pages =        "40--54",
  month =        mar,
  year =         "2018",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2697441",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "approximate media storm indexing mechanism;
                 Distributed databases; fast incoming multimedia
                 content; Flink distributed stream processing framework;
                 In-memory processing; indexing; media storm generator;
                 memory architecture; Multimedia communication;
                 multimedia computing; multimedia storage and search;
                 query processing; Search problems; stream processing;
                 Streaming media",
}

@Article{Chu:2018:MSP,
  author =       "L. Chu and R. Qiu and X. He and Z. Ling and Y. Liu",
  title =        "Massive Streaming {PMU} Data Modelling and Analytics
                 in Smart Grid State Evaluation based on Multiple
                 High-Dimensional Covariance Test",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "4",
  number =       "1",
  pages =        "55--64",
  month =        mar,
  year =         "2018",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2715165",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "118-bus system; 2383-bus system; 34-PMU system; Big
                 Data; big random matrix flow; complexity scale;
                 Covariance matrices; covariance matrices; data
                 dimensions; Data models; data quantum; efficient
                 calculation; energy market deregulation; high dimension
                 power flow equations; large scale power systems; load
                 flow; massive streaming PMU data; massive streaming PMU
                 data modelling; Mathematical model; model based
                 estimators; multiple high dimensional covariance matrix
                 test; multiple high-dimension covariance matrix test;
                 multiple high-dimensional covariance test; novel power
                 state evaluation algorithm; phase measurement units;
                 Phasor measurement; Phasor measurement units; power
                 system state estimation; Power systems; principal
                 component analysis; principal component calculation;
                 redundant computation elimination; robust state
                 evaluation; scale power systems; smart grid; smart grid
                 state evaluation; smart power grids; State evaluation;
                 state evaluation indicator; test statistic; Voltage
                 measurement",
}

@Article{Iscen:2018:MVS,
  author =       "A. Iscen and T. Furon and V. Gripon and M. Rabbat and
                 H. J{\'e}gou",
  title =        "Memory Vectors for Similarity Search in
                 High-Dimensional Spaces",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "4",
  number =       "1",
  pages =        "65--77",
  month =        mar,
  year =         "2018",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2677964",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Big data; Complexity theory; Computer vision; database
                 vectors; decision theory; Electronic mail;
                 High-dimensional indexing; high-dimensional spaces;
                 high-dimensional vectors; image indexing; image
                 processing; image retrieval; Indexing; indexing
                 architecture; Interference; large-scale image search
                 scenario; memory units; memory vectors; optimisation;
                 similarity search; single representative vector;
                 statistical signal processing; vectors; visual
                 databases",
}

@Article{Cong:2018:OSL,
  author =       "Y. Cong and J. Liu and B. Fan and P. Zeng and H. Yu
                 and J. Luo",
  title =        "Online Similarity Learning for Big Data with
                 Overfitting",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "4",
  number =       "1",
  pages =        "78--89",
  month =        mar,
  year =         "2018",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2688360",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Big Data; big data; Computational modeling; Data
                 models; feature dimension; feature extraction; feature
                 redundancy; feature selection; group sparsity
                 regularization; learning (artificial intelligence); low
                 rank; low rank metric matrix; low rank regularization;
                 low rank space; Mathematical model; matrix algebra;
                 Measurement; model optimization; nuclear norm; OASIS
                 model; OMLLR model; Online learning; online scene
                 categorization; Optimization; overfitting; overfitting
                 problem; rank redundancy; redundancy; Redundancy;
                 redundant rows; robust metric matrix; Robustness;
                 similarity learning; singular value decomposition;
                 sparse feature set; sparse representation; training
                 data",
}

@Article{Shuai:2018:QJS,
  author =       "H. Shuai and D. Yang and C. Shen and P. S. Yu and M.
                 Chen",
  title =        "{QMSampler}: Joint Sampling of Multiple Networks with
                 Quality Guarantee",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "4",
  number =       "1",
  pages =        "90--104",
  month =        mar,
  year =         "2018",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2715847",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Big Data; data quality analysis; Electronic mail;
                 Facebook; graph sampler; joint sampling; large-scale
                 OSNs; LinkedIn; Measurement; Online Social Networks;
                 optimization; QMSampler; Quality guarantee;
                 Quality-guaranteed Multi-network Sampler; released
                 datasets; Roads; sampled datasets; SNA algorithms;
                 Social network; Social Network Analysis; social
                 networking (online); statistical guarantee",
}

@Article{Shao:2018:SMC,
  author =       "Z. Shao and J. Cai and Z. Wang",
  title =        "Smart Monitoring Cameras Driven Intelligent Processing
                 to Big Surveillance Video Data",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "4",
  number =       "1",
  pages =        "105--116",
  month =        mar,
  year =         "2018",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2715815",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Big Data; Big data; Big Data era; big surveillance
                 video data; data mining; Event detection; evidence
                 video retrieval; front-end smart cameras; intelligent
                 video analytics techniques; massive surveillance video
                 data; pre-alarm abnormal behaviors; pre-alarm security
                 risk events; Security; Smart cameras; smart monitoring
                 cameras driven intelligent processing; smart storage;
                 Surveillance; surveillance network; surveillance
                 systems; video analysis; video retrieval; video
                 surveillance; video surveillance system",
}

@Article{Lee:2018:VAV,
  author =       "P. Lee and J. D. West and B. Howe",
  title =        "{Viziometrics}: Analyzing Visual Information in the
                 Scientific Literature",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "4",
  number =       "1",
  pages =        "117--129",
  month =        mar,
  year =         "2018",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2689038",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Bibliometrics; bibliometrics; Big Data; citation
                 analysis; computer vision; Encoding; figure retrieval;
                 figure types; information retrieval; information-dense
                 objects; learning (artificial intelligence); meta
                 research; Metadata; natural sciences computing;
                 organizing visual information; Pipelines; scholarly
                 communication; scientific impact; scientific
                 literature; scientometrics; Search engines; visual
                 browser; Visualization; viziometric analysis;
                 Viziometrics",
}

@Article{Jiang:2018:TMM,
  author =       "Y. Jiang and Z. Huang and D. H. K. Tsang",
  title =        "Towards Max-Min Fair Resource Allocation for Stream
                 Big Data Analytics in Shared Clouds",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "4",
  number =       "1",
  pages =        "130--137",
  month =        mar,
  year =         "2018",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2638860",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Big Data; Big data; cloud computing; computational
                 complexity; Computational modeling; continuously
                 generated data streams; data analysis; data processing
                 workflow; directed graphs; distributed stream big data
                 analytics platforms; Fasteners; integer programming;
                 max-min fairness; minimax techniques; mixed 0-1 integer
                 program; NP-hardness; optimization; resource
                 allocation; resource allocation problem; Resource
                 management; Shared Clouds; Storms; Stream big data
                 analytics; Throughput; Topology; topology throughput",
}

@Article{Anonymous:2018:TR,
  author =       "Anonymous",
  title =        "{TBD} 2017 Reviewers",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "4",
  number =       "1",
  pages =        "138--140",
  month =        mar,
  year =         "2018",
  DOI =          "https://doi.org/10.1109/TBDATA.2018.2798178",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
}

@Article{Anonymous:2018:IIT,
  author =       "Anonymous",
  title =        "2017 Index {{\booktitle{IEEE Transactions on Big
                 Data}}} Vol. 3",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "4",
  number =       "1",
  pages =        "1--7",
  month =        mar,
  year =         "2018",
  DOI =          "https://doi.org/10.1109/TBDATA.2018.2799558",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
}

@Article{Chen:2018:GEBa,
  author =       "J. Chen and H. Wang",
  title =        "Guest Editorial: {Big Data Infrastructure I}",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "4",
  number =       "2",
  pages =        "148--149",
  month =        jun,
  year =         "2018",
  DOI =          "https://doi.org/10.1109/TBDATA.2018.2839919",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Big Data; Cloud computing; Computer infrastructure;
                 Distributed databases; Special issues and sections;
                 Storage management",
}

@Article{Wu:2018:HCF,
  author =       "D. Wu and L. Zhu and Q. Lu and S. Sakr",
  title =        "{HDM}: A Composable Framework for Big Data
                 Processing",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "4",
  number =       "2",
  pages =        "150--163",
  month =        jun,
  year =         "2018",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2690906",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Big Data; big Data processing; Big data processing;
                 big data programs; composable big data applications;
                 Data analysis; data analysis; data flow; data
                 representation; data structures; Distributed databases;
                 distributed infrastructures; distributed processing;
                 distributed systems; functional data dependency graph;
                 functional programming; HDM applications; HDM jobs;
                 Hierarchically Distributed Data Matrix;
                 Job-Completion-Time; multiple optimizations;
                 optimisation; Optimization; parallel programming;
                 Pipeline processing; Runtime; Sparks; system
                 architecture",
}

@Article{Zhao:2018:DFS,
  author =       "L. Zhao and Z. Chen and Y. Hu and G. Min and Z.
                 Jiang",
  title =        "Distributed Feature Selection for Efficient Economic
                 Big Data Analysis",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "4",
  number =       "2",
  pages =        "164--176",
  month =        jun,
  year =         "2018",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2601934",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Analytical models; Big data; Big Data; big data;
                 China; collaborative theory; Dalian; data preprocessing
                 technique; Distributed databases; distributed feature
                 selection; econometric model construction;
                 econometrics; Econometrics; economic analysis; economic
                 factors; economic feature selection; Economic
                 indicators; economic indicators; economy; efficient
                 economic Big Data analysis; Feature extraction; Feature
                 selection; feature selection; high-dimensional economic
                 Big Data; high-quality economic data; multidimensional
                 data sets; subtractive clustering; urbanization",
}

@Article{Liu:2018:TAD,
  author =       "H. Liu and B. Liu and L. T. Yang and M. Lin and Y.
                 Deng and K. Bilal and S. U. Khan",
  title =        "Thermal-Aware and {DVFS}-Enabled Big Data Task
                 Scheduling for Data Centers",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "4",
  number =       "2",
  pages =        "177--190",
  month =        jun,
  year =         "2018",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2763612",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Big Data; big data task scheduling; Big Data tasks;
                 computer centres; Cooling; data centers; DVFS-enabled
                 Big Data task scheduling; dynamic voltage; dynamic
                 voltage and frequency scaling; efficient resource
                 allocation; energy conservation; Energy consumption;
                 energy consumption; frequency assignment model; green
                 house gas emissions; heat recirculation; Heating
                 systems; massive energy consumption; maximum energy
                 efficiency; migration energy consumption; power aware
                 computing; resource allocation; scheduling; Tensile
                 stress; Tensor; thermal-aware power-aware hybrid energy
                 consumption model; total energy consumption",
}

@Article{Chen:2018:GAH,
  author =       "Z. Chen and J. Xu and J. Tang and K. A. Kwiat and C.
                 A. Kamhoua and C. Wang",
  title =        "{GPU}-Accelerated High-Throughput Online Stream Data
                 Processing",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "4",
  number =       "2",
  pages =        "191--202",
  month =        jun,
  year =         "2018",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2616116",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Big Data; big data; Big data; big data infrastructure;
                 Computer architecture; continuous query; direct data
                 transfer; easy-to-use programming; Fasteners; G-Storm;
                 GPU; GPU-accelerated high-throughput; GPU-enabled
                 parallel system; graphic processing units; Graphics
                 processing units; graphics processing units; image
                 resizing; low-overhead data processing; matrix
                 multiplication; online stream data processing; parallel
                 architectures; parallel computing; parallel processing;
                 Programming; query processing; single instruction
                 multiple data architecture; storm applications; Storms;
                 Stream data processing; tuple processing time",
}

@Article{Sun:2018:MSM,
  author =       "P. Sun and Y. Wen and D. N. B. Ta and H. Xie",
  title =        "{MetaFlow}: A Scalable Metadata Lookup Service for
                 Distributed File Systems in Data Centers",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "4",
  number =       "2",
  pages =        "203--216",
  month =        jun,
  year =         "2018",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2612241",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "B-tree; Big data; big data; computer centres; data
                 centers; DHT; distributed databases; distributed hash
                 table based metadata management systems; efficient
                 metadata operations; file operations; large-scale
                 distributed file systems; Linux; lookup bottleneck
                 problem; lookup workload; meta data; Metadata; Metadata
                 management; metadata requests; metadata servers;
                 MetaFlow; Peer-to-peer computing; performance
                 bottleneck; scalable metadata lookup service; SDN;
                 Servers; significant CPU overhead; software defined
                 networking; software-defined networking;
                 software-defined networking techniques; System
                 performance; system throughput; table lookup;
                 Throughput; tree data structures",
}

@Article{Sellami:2018:CQO,
  author =       "R. Sellami and B. Defude",
  title =        "Complex Queries Optimization and Evaluation over
                 Relational and {NoSQL} Data Stores in Cloud
                 Environments",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "4",
  number =       "2",
  pages =        "217--230",
  month =        jun,
  year =         "2018",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2719054",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Big Data; cloud computing; Cloud computing; cloud
                 computing; complex queries optimization; Computational
                 modeling; cost model; data management; data models;
                 Data models; Database languages; Databases; dynamic
                 programming; heterogeneous data models; heterogeneous
                 data storage; inter data stores parallelism execution
                 model; join queries; Mediation; mediation approach;
                 NoSQL data stores; NoSQL databases; optimal execution
                 plan; polyglot persistence; query languages; query
                 optimization; query processing; relational data stores;
                 REST-based API; single data; virtual data store",
}

@Article{Wang:2018:SBD,
  author =       "J. Wang and X. Zhang and J. Yin and R. Wang and H. Wu
                 and D. Han",
  title =        "Speed Up Big Data Analytics by Unveiling the Storage
                 Distribution of Sub-Datasets",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "4",
  number =       "2",
  pages =        "231--244",
  month =        jun,
  year =         "2018",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2632744",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Algorithm design and analysis; analysis programs;
                 balanced execution; Big data; Big Data; big data
                 analytics; Bloom filter techniques; Clustering
                 algorithms; computational nodes; data analysis; data
                 handling; data structures; DataNet; different
                 sub-dataset analyses; distributed databases;
                 distributed storage systems; distribution-aware
                 algorithms; efficient parallel execution; elastic
                 storage structure; ElasticMap; Facebook; graph theory;
                 Hadoop file system; HashMap; HDFS; HDFS blocks;
                 imbalanced computing patterns; inefficient parallel
                 execution; inefficient sampling; irrelevant data; load
                 balance; meta-data; Motion pictures; parallel
                 processing; pattern clustering; PRObEs Marmot 128-node
                 cluster testbed; sampling; Security; seriously
                 imbalanced execution; skewness; storage distribution
                 aware method; sub-dataset analysis; sub-dataset
                 applications; sub-dataset distributions; Sub-datasets;
                 sub-datasets distribution; sub-datasets results",
}

@Article{Xu:2018:LTO,
  author =       "Z. Xu and X. Luo and Y. Liu and K. R. Choo and V.
                 Sugumaran and N. Yen and L. Mei and C. Hu",
  title =        "From Latency, Through Outbreak, to Decline: Detecting
                 Different States of Emergency Events Using {Web}
                 Resources",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "4",
  number =       "2",
  pages =        "245--257",
  month =        jun,
  year =         "2018",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2599935",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "automatic states detection; Earthquakes; emergency
                 event; emergency management; Events; fluctuation power;
                 Fluctuations; government; Heuristic algorithms;
                 heuristic rules; information provider; Internet; Media;
                 outbreak power; Real-time systems; social group; states
                 detecting algorithm; Twitter; web mining; Web pages;
                 Web resources",
}

@Article{Niu:2018:JTC,
  author =       "Z. Niu and B. He and F. Liu",
  title =        "{JouleMR}: Towards Cost-Effective and Green-Aware Data
                 Processing Frameworks",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "4",
  number =       "2",
  pages =        "258--272",
  month =        jun,
  year =         "2018",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2655037",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Batteries; computer centres; cost-effective
                 optimization; cost-effective-green-aware data
                 processing framework; data center workloads; Data
                 processing; data processing frameworks; dynamic pricing
                 schemes; electricity cost; Energy consumption; energy
                 efficiency; energy management; energy markets; green
                 computing; Green products; green-aware optimization;
                 green-aware optimizations; Hadoop YARN; job scheduling
                 algorithm; joule efficiency; JouleMR; MapReduce
                 framework; Optimization; power aware computing;
                 Pricing; Renewable energy sources; renewable energy
                 supply; scheduling; task scheduling algorithm; total
                 energy consumption",
}

@Article{Liu:2018:CED,
  author =       "Y. Liu and X. Sun",
  title =        "{CaL}: Extending Data Locality to Consider Concurrency
                 for Performance Optimization",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "4",
  number =       "2",
  pages =        "273--288",
  month =        jun,
  year =         "2018",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2753825",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "average memory access time; Bandwidth; Big Data; Big
                 Data applications; cache storage; CaL-aware design;
                 concurrency control; concurrency-aware data access
                 locality; concurrency-aware locality optimization;
                 Concurrent computing; data access concurrency; data
                 access delay; data analytic kernel; data concurrency
                 optimizations; data intensive applications; memory
                 access patterns; memory accesses; memory bandwidth;
                 memory concurrency; memory hierarchy; memory stall
                 time; memory system performance metrics; Memory wall;
                 Optimization; performance counters; performance
                 optimization; Program processors; System performance",
}

@Article{Fang:2018:EVM,
  author =       "H. Fang and Z. Zhang",
  title =        "An Enhanced Visualization Method to Aid Behavioral
                 Trajectory Pattern Recognition Infrastructure for Big
                 Longitudinal Data",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "4",
  number =       "2",
  pages =        "289--298",
  month =        jun,
  year =         "2018",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2653815",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "behavioral trajectory pattern recognition
                 infrastructure; Big data; big HD longitudinal data;
                 Clustering algorithms; data analysis; data
                 visualisation; Data visualization; decision making;
                 Enhanced projection pursuit; enhanced projection
                 pursuit method; enhanced visualization method; EPP;
                 High definition video; high-dimensional longitudinal
                 data; iterative methods; longitudinal clinical trial
                 datasets; longitudinal data; lower-dimensional plane;
                 nonlinear mapping algorithms; NP hard optimization;
                 optimisation; Pattern recognition; pattern recognition;
                 PP methods; publicized UCI datasets; Stress;
                 Trajectory; visualization",
}

@Article{Chen:2018:GEBb,
  author =       "J. Chen and H. Wang",
  title =        "Guest Editorial: {Big Data Infrastructure II}",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "4",
  number =       "3",
  pages =        "299--300",
  month =        sep,
  year =         "2018",
  DOI =          "https://doi.org/10.1109/TBDATA.2018.2855558",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Big Data; Cloud computing; Computer architecture;
                 Computer security; Large-scale systems; Special issues
                 and sections",
}

@Article{Qi:2018:SBT,
  author =       "L. Qi and X. Xu and X. Zhang and W. Dou and C. Hu and
                 Y. Zhou and J. Yu",
  title =        "Structural Balance Theory-Based E-Commerce
                 Recommendation over Big Rating Data",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "4",
  number =       "3",
  pages =        "301--312",
  month =        sep,
  year =         "2018",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2602849",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Big Data; big rating data; Collaboration;
                 collaborative filtering; collaborative filtering-based
                 technique; Companies; Computer science; dissimilar
                 enemy; E-commerce; electronic commerce; Filtering;
                 item-based CF; product item recommendation; product
                 recommendation; recommender systems; SBT-Rec; similar
                 friend; Software; structural balance theory; structural
                 balance theory-based e-commerce recommendation;
                 user-based CF; user-based recommendation; user-product
                 purchase network",
}

@Article{Dai:2018:CIR,
  author =       "W. Dai and L. Qiu and A. Wu and M. Qiu",
  title =        "Cloud Infrastructure Resource Allocation for Big Data
                 Applications",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "4",
  number =       "3",
  pages =        "313--324",
  month =        sep,
  year =         "2018",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2597149",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Algorithm design and analysis; Big Data; Big data; Big
                 Data; big data; Cloud computing; cloud computing; Cloud
                 computing; Cloud infrastructure; cloud infrastructure
                 resource allocation; Heuristic algorithms;
                 multi-objective optimization; multiobjective
                 optimization algorithm; optimisation; Optimization;
                 Quality of service; resource allocation; Resource
                 management",
}

@Article{Wang:2018:BDS,
  author =       "X. Wang and L. T. Yang and H. Liu and M. J. Deen",
  title =        "A Big Data-as-a-Service Framework: State-of-the-Art
                 and Perspectives",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "4",
  number =       "3",
  pages =        "325--340",
  month =        sep,
  year =         "2018",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2757942",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "bicycle renting; bicycle-sharing system; bicycles; Big
                 Data; Big Data analytics; Big Data integration; Big
                 Data representation; Big Data-as-a-Service framework;
                 Cleaning; data analysis; Data privacy; information
                 technologies; Organizations; pattern clustering;
                 proactive services; returning data; Security; Tensile
                 stress; tensor; tensor decompositions; tensor networks;
                 tensors; timely information",
}

@Article{Hu:2018:SVA,
  author =       "C. Hu and W. Li and X. Cheng and J. Yu and S. Wang and
                 R. Bie",
  title =        "A Secure and Verifiable Access Control Scheme for Big
                 Data Storage in Clouds",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "4",
  number =       "3",
  pages =        "341--355",
  month =        sep,
  year =         "2018",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2621106",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Access control; access control; access legitimacy;
                 access policy update; authorisation; Big data; Big
                 Data; Big data storage; ciphertext; cloud computing;
                 Cloud computing; cloud computing; cloud server;
                 Cryptography; cryptography; data owner; eligible users;
                 outsourcing; Outsourcing; secret sharing; secure access
                 control scheme; security strengths; Servers; storage
                 management; the NTRU cryptosystem; verifiable access
                 control scheme",
}

@Article{Cui:2018:SBB,
  author =       "Y. Cui and J. Song and M. Li and Q. Ren and Y. Zhang
                 and X. Cai",
  title =        "{SDN}-Based Big Data Caching in {ISP} Networks",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "4",
  number =       "3",
  pages =        "356--367",
  month =        sep,
  year =         "2018",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2651901",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Algorithm design and analysis; Approximation
                 algorithms; Big data; cache storage; cache systems;
                 cached contents; computational complexity; content
                 popularity; content transmission; Control systems;
                 cooperative cache; Delays; distributed cache nodes;
                 extensive trace-based simulation results; increment
                 recording mechanism; inter-ISP traffic; Internet;
                 Internet traffic; ISP networks; near-optimal solution;
                 network conditions; optimal content placement;
                 optimisation; promising technique; relaxation
                 algorithm; relaxation theory; relaxation-rounding
                 technique; SCCN controller; SCCN Switches; SDN;
                 SDN-based big data caching; software defined
                 networking; specific multicommodity facility location
                 problem; System performance; telecommunication
                 traffic",
}

@Article{Zhang:2018:QBD,
  author =       "P. Zhang and K. Yu and J. J. Yu and S. U. Khan",
  title =        "{QuantCloud}: Big Data Infrastructure for Quantitative
                 Finance on the Cloud",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "4",
  number =       "3",
  pages =        "368--380",
  month =        sep,
  year =         "2018",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2649544",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "algorithmic trading; Big Data; Big data; Big Data; big
                 data analytics; big Data infrastructure; cloud
                 computing; Cloud computing; cloud computing; data
                 analysis; data-access application; Data-on-Demand
                 services; Databases; exabyte-scale market metadata;
                 Finance; financial data-driven research; financial
                 engineering community; financial markets; global
                 market; internet connections; investment; large-scale
                 SSD-backed datastore; market data; marketing; meta
                 data; model computing; multiple client services
                 process; parallel algorithms; Parallel processing;
                 parallel processing; parallel processing algorithms;
                 quantcloud bridges; quantcloud infrastructure;
                 quantitative finance; query on-demand datasets;
                 Servers; stock markets; storage management; subtle
                 patterns; volatile trading patterns",
}

@Article{Huang:2018:NFG,
  author =       "X. Huang and C. Huang",
  title =        "{NGD}: Filtering Graphs for Visual Analysis",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "4",
  number =       "3",
  pages =        "381--395",
  month =        sep,
  year =         "2018",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2555319",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Algorithm design and analysis; Big data; data
                 visualisation; Data visualization; Filtering;
                 filtering; Filtering algorithms; filtering approach;
                 graph theory; graph visualization; hierarchical
                 structures; Measurement; metric; Networks
                 visualization; NGD; online community; social network
                 sites; social networking (online); visual analysis;
                 visual complexity; Visualization",
}

@Article{Wang:2018:AMC,
  author =       "B. Wang and J. Jiang and Y. Wu and G. Yang and K. Li",
  title =        "Accelerating {MapReduce} on Commodity Clusters: An
                 {SSD}-Empowered Approach",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "4",
  number =       "3",
  pages =        "396--407",
  month =        sep,
  year =         "2018",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2599933",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "7-node commodity cluster; Acceleration; Big data;
                 Buffer storage; cache storage; commodity clusters; data
                 caching; Data models; data sets; disc drives; frequent
                 IO operations; hard discs; Hard disks; hard-disk drive;
                 in-memory caching; in-memory optimization; low-speed
                 HDD storage; many cores; MapReduce; MapReduce tasks;
                 memory limitation; mpCache; multiple cores;
                 multiprocessing systems; optimisation; parallel
                 processing; pattern clustering; processor cores;
                 Programming; programming model; scheduling; Servers;
                 solid-state drive; SSD-empowered approach; storage
                 allocation; storage management",
}

@Article{Wu:2018:BDA,
  author =       "J. Wu and K. Ota and M. Dong and J. Li and H. Wang",
  title =        "Big Data Analysis-Based Security Situational Awareness
                 for Smart Grid",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "4",
  number =       "3",
  pages =        "408--417",
  month =        sep,
  year =         "2018",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2616146",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "association analysis; Big data; big data; Big Data;
                 big data analysis-based security situational awareness;
                 Communication networks; cyber-security threats; data
                 analysis; data processing technologies; fuzzy cluster
                 based analytical method; fuzzy set theory; Game theory;
                 game theory; Games; learning (artificial intelligence);
                 pattern clustering; power engineering computing;
                 reinforcement learning; Security; security components;
                 security of data; security situation assessment;
                 security situational analysis; security situational
                 awareness mechanism; Smart grid; smart grid focus;
                 Smart grids; smart power grids",
}

@Article{Wang:2018:MEM,
  author =       "Y. Wang and Y. Shen and H. Wang and J. Cao and X.
                 Jiang",
  title =        "{MtMR}: Ensuring {MapReduce} Computation Integrity
                 with {Merkle} Tree-Based Verifications",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "4",
  number =       "3",
  pages =        "418--431",
  month =        sep,
  year =         "2018",
  DOI =          "https://doi.org/10.1109/TBDATA.2016.2599928",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Big Data; Big data; big data applications; big data
                 infrastructures; Cloud computing; cloud computing;
                 Computer architecture; Computer science; computing
                 integrity; data handling; data integrity; Electronic
                 mail; formal verification; hybrid cloud environment;
                 MapReduce; MapReduce computation integrity; Merkle
                 tree; Merkle tree-based verifications; MtMR; parallel
                 processing; private cloud; public cloud; Security;
                 security of data; security problems; trees
                 (mathematics); Virtual machining",
}

@Article{Li:2018:AKS,
  author =       "Z. Li and H. Chandler and H. Shen",
  title =        "Analysis of Knowledge Sharing Activities on a Social
                 Network Incorporated Discussion Forum: A Case Study of
                 {DISboards}",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "4",
  number =       "4",
  pages =        "432--446",
  month =        dec,
  year =         "2018",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2749307",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "DISboards forum; discussion forum; Discussion forums;
                 Information exchange; information sharing; Instruction
                 sets; Internet; Knowledge discovery; Knowledge
                 engineering; knowledge sharing; Message systems; Social
                 network services; social networks",
}

@Article{Cheung:2018:CUC,
  author =       "M. Cheung and J. She and N. Wang",
  title =        "Characterizing User Connections in Social Media
                 through User-Shared Images",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "4",
  number =       "4",
  pages =        "447--458",
  month =        dec,
  year =         "2018",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2762719",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Big Data; Big data system; Computer vision;
                 connection; discovery; Image coding; Information
                 sharing; Knowledge discovery; Neural networks;
                 recommendation; social network analysis; Social network
                 services; User-generated content; user-shared images",
}

@Article{Dong:2018:CAP,
  author =       "D. Dong and J. Herbert",
  title =        "Content-Aware Partial Compression for Textual Big Data
                 Analysis in {Hadoop}",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "4",
  number =       "4",
  pages =        "459--472",
  month =        dec,
  year =         "2018",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2721431",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Algorithm design and analysis; Big Data; Big data;
                 compression; Data analysis; Data compression;
                 Distributed databases; distributed file system; File
                 systems; mapreduce",
}

@Article{Shi:2018:EPM,
  author =       "W. Shi and Y. Zhu and P. S. Yu and J. Zhang and T.
                 Huang and C. Wang and Y. Chen",
  title =        "Effective Prediction of Missing Data on {Apache Spark}
                 over Multivariable Time Series",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "4",
  number =       "4",
  pages =        "473--486",
  month =        dec,
  year =         "2018",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2719703",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Apache Spark; Big data; big data; Big Data; Linear
                 programming; Matrix factorization; missing data
                 prediction; Predictive models; Sensor phenomena and
                 characterization; time series; Time series analysis",
}

@Article{Kuang:2018:EPS,
  author =       "K. Kuang and M. Jiang and P. Cui and H. Luo and S.
                 Yang",
  title =        "Effective Promotional Strategies Selection in Social
                 Media: A Data-Driven Approach",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "4",
  number =       "4",
  pages =        "487--501",
  month =        dec,
  year =         "2018",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2734102",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Advertising; Big Data; Heuristic algorithms;
                 promotional effectiveness; promotional strategies;
                 propensity score; Social media promotion; Social
                 network services",
}

@Article{Wu:2018:ECL,
  author =       "J. Wu and W. Zheng and J. Lai and C. Y. Suen",
  title =        "Euler Clustering on Large-Scale Dataset",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "4",
  number =       "4",
  pages =        "502--515",
  month =        dec,
  year =         "2018",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2742530",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Big Data; Cluster computing; Computational complexity;
                 Euler kernel; Kernel; kernel$k$-means; Laplace
                 equations; Large-scale clustering; Sparse matrices;
                 spectral clustering",
}

@Article{Kralevska:2018:HEC,
  author =       "K. Kralevska and D. Gligoroski and R. E. Jensen and H.
                 {\O}verby",
  title =        "{HashTag} Erasure Codes: From Theory to Practice",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "4",
  number =       "4",
  pages =        "516--529",
  month =        dec,
  year =         "2018",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2749255",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "access-optimal; Bandwidth; Distributed databases;
                 Distributed storage; Encoding; Hadoop; I/O operations;
                 Maintenance engineering; MDS erasure codes;
                 regenerating codes; single and multiple failures; small
                 sub-packetization level; Storage management;
                 Systematics; Twitter",
}

@Article{Yao:2018:HAR,
  author =       "Y. Yao and Y. Liu and Z. Liu and H. Chen",
  title =        "Human Activity Recognition with Posture Tendency
                 Descriptors on Action Snippets",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "4",
  number =       "4",
  pages =        "530--541",
  month =        dec,
  year =         "2018",
  DOI =          "https://doi.org/10.1109/TBDATA.2018.2803838",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Activity recognition; Covariance matrices; Feature
                 extraction; Hidden Markov models; main dynamic
                 tendency; major posture feature; manifold dividing;
                 Manifolds; Three-dimensional displays",
}

@Article{Liu:2018:LDR,
  author =       "X. Liu and X. Wang",
  title =        "{LS}-Decomposition for Robust Recovery of Sensory Big
                 Data",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "4",
  number =       "4",
  pages =        "542--555",
  month =        dec,
  year =         "2018",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2763170",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "anomaly readings; Big Data; Data analysis; Internet of
                 Things; Internet of Things (IoT); low-rank;
                 LS-decomposition; Matrix decomposition; missing data;
                 Noise measurement; robust recovery; sensory big data;
                 Sparse matrices; sparsity; Wireless sensor networks",
}

@Article{Li:2018:MMI,
  author =       "Y. Li and J. Bao and Y. Li and Y. Wu and Z. Gong and
                 Y. Zheng",
  title =        "Mining the Most Influential $k$-Location Set from
                 Massive Trajectories",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "4",
  number =       "4",
  pages =        "556--570",
  month =        dec,
  year =         "2018",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2717978",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Big Data; Charging stations; Data mining; Electric
                 vehicles; Lighting; Location selection; maximum
                 coverage problem; most influential$k$-location set;
                 Performance evaluation; Resource management; trajectory
                 data mining",
}

@Article{Zhu:2018:PCI,
  author =       "J. Y. Zhu and C. Zhang and H. Zhang and S. Zhi and V.
                 O. K. Li and J. Han and Y. Zheng",
  title =        "{pg}-Causality: Identifying Spatiotemporal Causal
                 Pathways for Air Pollutants with Urban Big Data",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "4",
  number =       "4",
  pages =        "571--585",
  month =        dec,
  year =         "2018",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2723899",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Air pollution; Atmospheric modeling; Bayes methods;
                 Bayesian learning; Big Data; Causality; Data mining;
                 pattern mining; spatiotemporal (ST) big data; Time
                 series analysis; Urban areas; urban computing",
}

@Article{Xue:2018:SNN,
  author =       "W. Xue and H. Li and Y. Peng and J. Cui and Y. Shi",
  title =        "Secure $k$ Nearest Neighbors Query for
                 High-Dimensional Vectors in Outsourced Environments",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "4",
  number =       "4",
  pages =        "586--599",
  month =        dec,
  year =         "2018",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2740954",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Cloud computing; Data privacy; Encryption; encryption;
                 quantization; query processing; Secure$k$nearest
                 neighbors query; Security of data; Servers",
}

@Article{Lin:2018:SQA,
  author =       "Y. Lin and H. Shen",
  title =        "{SmartQ}: A Question and Answer System for Supplying
                 High-Quality and Trustworthy Answers",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "4",
  number =       "4",
  pages =        "600--613",
  month =        dec,
  year =         "2018",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2735442",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Big Data; Cluster computing; Knowledge engineering;
                 Monitoring; Question and answer system; question
                 category; reputation system; social cluster; Social
                 network services; spammer detection; Unsolicited
                 electronic mail",
}

@Article{Francesco:2018:AUC,
  author =       "P. D. Francesco and F. Malandrino and L. A. DaSilva",
  title =        "Assembling and Using a Cellular Dataset for Mobile
                 Network Analysis and Planning",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "4",
  number =       "4",
  pages =        "614--620",
  month =        dec,
  year =         "2018",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2734100",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Base stations; Big Data; Cellular networks; network
                 planning; Statistical analysis; Telecommunication
                 network management; Telecommunication traffic; traffic
                 statistics",
}

@Article{Yang:2019:SJ,
  author =       "Q. Yang",
  title =        "State of the Journal",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "5",
  number =       "1",
  pages =        "1--1",
  month =        mar,
  year =         "2019",
  DOI =          "https://doi.org/10.1109/TBDATA.2019.2895402",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
}

@Article{He:2019:GEI,
  author =       "B. He and Y. Chen and J. Zhou",
  title =        "{Guest Editors} Introduction: Special Issue on Big
                 Data Systems on Emerging Architectures",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "5",
  number =       "1",
  pages =        "2--3",
  month =        mar,
  year =         "2019",
  DOI =          "https://doi.org/10.1109/TBDATA.2019.2898067",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Big Data; Big Data applications; Big data systems;
                 Computer architecture; Data models; Ecosystems;
                 emerging architectures; Field programmable gate arrays;
                 FPGA; GPU; High performance computing; high performance
                 computing; Program processors; Special issues and
                 sections",
}

@Article{Cai:2019:MTU,
  author =       "Q. Cai and H. Zhang and W. Guo and G. Chen and B. C.
                 Ooi and K. Tan and W. Wong",
  title =        "{MemepiC}: Towards a Unified In-Memory Big Data
                 Management System",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "5",
  number =       "1",
  pages =        "4--17",
  month =        mar,
  year =         "2019",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2789286",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "batch processing (industrial); Big Data; big data
                 management; data analysis; Data analysis; data
                 analytics; data analytics services; data loading;
                 distributed systems; DRAM chips; Engines; heavy data
                 movement; In-memory; in-situ data analytics; Kernel;
                 key-value; MemepiC; Memory management; offline batch
                 processing systems; online data query service;
                 Protocols; query processing; Random access memory;
                 RDMA; storage management; storage systems; unified
                 in-memory big data management system",
}

@Article{Goudarzi:2019:HAB,
  author =       "M. Goudarzi",
  title =        "Heterogeneous Architectures for Big Data Batch
                 Processing in {MapReduce} Paradigm",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "5",
  number =       "1",
  pages =        "18--33",
  month =        mar,
  year =         "2019",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2736557",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Batch production systems; Big Data; Big data; big data
                 batch processing; Computer architecture; Computers;
                 data center; data handling; digital data; efficiency;
                 FPGA; Google; Hadoop; Hardware; hardware accelerator;
                 heterogeneous architectures; large-scale computing
                 architectures; MapReduce; MapReduce paradigm; mobile
                 services; parallel processing; physical systems;
                 Programming; software architecture",
}

@Article{Wang:2019:RBD,
  author =       "K. Wang and C. Xu and Y. Zhang and S. Guo and A. Y.
                 Zomaya",
  title =        "Robust Big Data Analytics for Electricity Price
                 Forecasting in the Smart Grid",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "5",
  number =       "1",
  pages =        "34--45",
  month =        mar,
  year =         "2019",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2723563",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Big Data; Big data; classification; data analysis;
                 differential evolution; electricity price forecasting
                 model; Feature extraction; feature extraction; feature
                 extraction process; feature redundancy; feature
                 selection; Forecasting; grey correlation analysis; grey
                 systems; Hafnium; huge price data; kernel function;
                 power engineering computing; power markets; price
                 classification; price forecasting; pricing; principal
                 component analysis; principle component analysis; Radio
                 frequency; robust big data analytics; smart grid; smart
                 grid cost efficient; Smart grids; smart power grids;
                 support vector machine classifier; support vector
                 machines; Support vector machines; SVM classifier",
}

@Article{Liu:2019:POD,
  author =       "X. Liu and R. Buyya",
  title =        "Performance-Oriented Deployment of Streaming
                 Applications on Cloud",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "5",
  number =       "1",
  pages =        "46--59",
  month =        mar,
  year =         "2019",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2720622",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Big Data; Cloud computing; cloud computing;
                 Computational modeling; data stream management systems;
                 decision making; deployment configuration; deployment
                 decisions; deployment framework; IaaS clouds;
                 infrastructure level; Monitor-Analyze-Plan-Execute
                 architecture; Monitoring; on-demand resource pool;
                 Optimization; P-Deployer; performance optimization;
                 performance-oriented deployment; resource allocation;
                 Resource management; resource management; resource
                 provisioning; resources allocation; software
                 architecture; software performance evaluation; static
                 resource-set environment; Stream processing; streaming
                 applications; Topology",
}

@Article{Dolev:2019:SGD,
  author =       "S. Dolev and P. Florissi and E. Gudes and S. Sharma
                 and I. Singer",
  title =        "A Survey on Geographically Distributed Big-Data
                 Processing Using {MapReduce}",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "5",
  number =       "1",
  pages =        "60--80",
  month =        mar,
  year =         "2019",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2723473",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Amazon; batch processing; Big Data; Cloud computing;
                 cloud computing; data analysis; Distributed databases;
                 distributed processing; Facebook; Fault tolerance;
                 Fault tolerant systems; geographically distributed
                 big-data processing; geographically distributed data;
                 Google; Hadoop; HDFS Federation; large-scale data
                 processing; MapReduce; MapReduce-based systems; massive
                 data; parallel processing; private clouds; public
                 clouds; social network analysis; Spark; Spark-based
                 systems; Sparks; SQL; SQL-style processing
                 geo-distributed frameworks; stream processing; YARN",
}

@Article{Jia:2019:UPD,
  author =       "Z. Jia and W. Gao and Y. Shi and S. A. McKee and Z. Ji
                 and J. Zhan and L. Wang and L. Zhang",
  title =        "Understanding Processors Design Decisions for Data
                 Analytics in Homogeneous Data Centers",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "5",
  number =       "1",
  pages =        "81--94",
  month =        mar,
  year =         "2019",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2758792",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Big Data; big data; brawny multicore processors;
                 Clocks; computational performance; computer centres;
                 data analytics workloads; Data analysis; data
                 analysis; Data analytics; data analytics workloads;
                 data center systems; energy conservation; energy
                 efficiency; energy-efficiency; homogeneous data
                 centers; many-core processors; multi-threading;
                 Multicore processing; multiprocessing systems;
                 performance; performance-cost efficiency; Pipelines;
                 power aware computing; processor design decisions;
                 processor evaluation; Program processors; simultaneous
                 multithreading",
}

@Article{Edstrom:2019:DPE,
  author =       "J. Edstrom and D. Chen and Y. Gong and J. Wang and N.
                 Gong",
  title =        "Data-Pattern Enabled Self-Recovery Low-Power Storage
                 System for Big Video Data",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "5",
  number =       "1",
  pages =        "95--105",
  month =        mar,
  year =         "2019",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2750699",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "battery life; Big Data; big video data; data mining;
                 Data mining; data mining; data pattern; data patterns;
                 data relationship discovery; data-pattern enabled
                 self-recovery low-power storage system; Hardware;
                 horizontal data-association; low-power; Memory
                 management; Mobile communication; mobile computing;
                 mobile devices; mobile video applications; on-chip
                 memory; optimal data patterns; pattern identification;
                 Random access memory; self-recovery; self-recovery
                 video storage system; size 45.0 nm; smart phones; SRAM
                 chips; SRAM design; tablet devices; Two dimensional
                 displays; two-dimensional data-pattern approach;
                 vertical data-correlation characteristics; video data
                 size; video quality; video signal processing; Videos;
                 voltage 0.5 V",
}

@Article{Anonymous:2019:RL,
  author =       "Anonymous",
  title =        "2018 Reviewers List",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "5",
  number =       "1",
  pages =        "106--118",
  month =        mar,
  year =         "2019",
  DOI =          "https://doi.org/10.1109/TBDATA.2019.2893810",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
}

@Article{Anonymous:2019:IIT,
  author =       "Anonymous",
  title =        "2018 Index {{\booktitle{IEEE Transactions on Big
                 Data}}} Vol. 4",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "5",
  number =       "1",
  pages =        "1--9",
  month =        mar,
  year =         "2019",
  DOI =          "https://doi.org/10.1109/TBDATA.2019.2901238",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
}

@Article{Makkie:2019:DCP,
  author =       "M. Makkie and X. Li and S. Quinn and B. Lin and J. Ye
                 and G. Mon and T. Liu",
  title =        "A Distributed Computing Platform for {fMRI} Big Data
                 Analytics",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "5",
  number =       "2",
  pages =        "109--119",
  month =        jun,
  year =         "2019",
  DOI =          "https://doi.org/10.1109/TBDATA.2018.2811508",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "apache-spark; Big Data; big data analytics; big data
                 context; biomedical MRI; brain; Brain; brain diseases;
                 BRAIN Initiative; data management system; Data
                 visualization; diseases; distributed computing;
                 distributed computing platform; distributed dictionary
                 learning; fMRI; fMRI Big Data analytics; Functional
                 magnetic resonance imaging; Hadoop; Human Brain
                 Project; machine learning; medical image processing;
                 Neuroimaging; neuroimaging datasets; neurophysiology;
                 neuroscience Big Data; Sparks; Task analysis",
}

@Article{Jiang:2019:DGC,
  author =       "S. Jiang and Y. Kong and Y. Fu",
  title =        "Deep Geo-Constrained Auto-Encoder for Non-Landmark
                 {GPS} Estimation",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "5",
  number =       "2",
  pages =        "120--133",
  month =        jun,
  year =         "2019",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2773096",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "auto-encoder; Big Data; deep geo-constrained
                 auto-encoder; deep learning; deep learning framework;
                 easy-confusing constraint; Estimation; feature
                 extraction; Feature extraction; feature learning
                 networks; feature representations; geographically close
                 images; geographically distant images; Global
                 Positioning System; GPS data; GPS estimation; image
                 classification; Image edge detection; image geotagging
                 dataset; image representation; learning (artificial
                 intelligence); learning discriminative features;
                 nonlandmark GPS estimation; same-area constraint;
                 visual data; Visualization",
}

@Article{Hajeer:2019:HBD,
  author =       "M. Hajeer and D. Dasgupta",
  title =        "Handling Big Data Using a Data-Aware {HDFS} and
                 Evolutionary Clustering Technique",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "5",
  number =       "2",
  pages =        "134--147",
  month =        jun,
  year =         "2019",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2782785",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Big Data; big data solutions; cluster analysis;
                 Clustering methods; cyber-enabled systems; data
                 analysis; data centers; data handling; data types;
                 data-aware HDFS; data-aware module; distributed
                 computing; distributed databases; Distributed
                 databases; distributed encoding technique; distributed
                 file system; efficiency issues; environmental problems;
                 evolutionary clustering technique; File systems;
                 genetic algorithms; genetic algorithms efficient data
                 processing; graph data; Hadoop eco-system; handling big
                 data; information management; Internet-of-Things;
                 large-scale problems; larger space requirements;
                 optimization; parallel processing; pattern clustering;
                 query processing; Resource description framework;
                 scalability; specific types; Storms; Tools; turn lead",
}

@Article{Zhang:2019:KIL,
  author =       "Z. Zhang and L. Jia and M. Zhao and G. Liu and M. Wang
                 and S. Yan",
  title =        "Kernel-Induced Label Propagation by Mapping for
                 Semi-Supervised Classification",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "5",
  number =       "2",
  pages =        "148--165",
  month =        jun,
  year =         "2019",
  DOI =          "https://doi.org/10.1109/TBDATA.2018.2797977",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "adaptive weight construction; adaptive weight
                 learning; Algorithm design and analysis; data mining;
                 direct kernel mapping; Electronic mail;
                 high-dimensional real data; joint label propagation;
                 Kernel; kernel mapping-induced label reconstruction;
                 kernel matrix; kernel methods; kernel trick;
                 Kernel-induced label propagation; kernel-induced label
                 propagation framework; Kernel-LP changes; learning
                 (artificial intelligence); Manifolds; mapping; pattern
                 classification; pattern recognition; semi-supervised
                 classification; Task analysis; Testing; Training;
                 transformed kernel space",
}

@Article{Bruce:2019:NDL,
  author =       "S. Bruce and Z. Li and H. Yang and S. Mukhopadhyay",
  title =        "Nonparametric Distributed Learning Architecture for
                 Big Data: Algorithm and Applications",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "5",
  number =       "2",
  pages =        "166--179",
  month =        jun,
  year =         "2019",
  DOI =          "https://doi.org/10.1109/TBDATA.2018.2810187",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Analytical models; basic statistical modeling
                 principles; Big Data; big data computing; big data
                 learning; computational challenges; Computational
                 modeling; Computer architecture; data analysis; Data
                 models; data-intensive statistical inference
                 architecture; data-parallelism; Distributed databases;
                 distributed statistical learning; flexible distributed
                 statistical modeling framework suitable; global
                 inference; heterogeneity; heterogeneous local
                 inferences; Inference algorithms; inference mechanisms;
                 large-scale data analysis; learning (artificial
                 intelligence); LP transformation; massive data;
                 meta-analysis; mixed data algorithms; modern datasets;
                 modern nonparametric learning; nonparametric
                 distributed learning architecture; Nonparametric mixed
                 data modeling; original big data; orthonormal data
                 transformation; parallel processing; partitioned data;
                 recommender systems; specially designed data
                 transformation; statistical analysis; traditional
                 centralized statistical inference prohibitive;
                 two-sample inference algorithm",
}

@Article{Wang:2019:NSM,
  author =       "H. Wang and H. Yao and D. Kifer and C. Graif and Z.
                 Li",
  title =        "Non-Stationary Model for Crime Rate Inference Using
                 Modern Urban Data",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "5",
  number =       "2",
  pages =        "180--194",
  month =        jun,
  year =         "2019",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2786405",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Big Data; Computer crime inference; Correlation; crime
                 rate inference; data analysis; feature importance
                 analysis; geographically weighted regression;
                 geographically weighted regression on top of negative
                 binomial model; GWNBR model; large-scale
                 point-of-interest data; modern urban data; negative
                 binomial model; police data processing; Predictive
                 models; Public transportation; regression analysis;
                 Sociology; taxi flow; taxi flow data; Urban areas",
}

@Article{Zhang:2019:SRT,
  author =       "D. Zhang and D. Wang and N. Vance and Y. Zhang and S.
                 Mike",
  title =        "On Scalable and Robust Truth Discovery in Big Data
                 Social Media Sensing Applications",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "5",
  number =       "2",
  pages =        "195--208",
  month =        jun,
  year =         "2019",
  DOI =          "https://doi.org/10.1109/TBDATA.2018.2824812",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Big Data; Big data; big data social media sensing
                 applications; data sparsity; distributed framework;
                 HTCondor system; influence bots; large-scale social
                 sensing events; long-tail phenomenon; noisy data;
                 online social media; principled approach; Robustness;
                 rumor robust; scalable; scalable and robust truth
                 discovery scheme; Sensors; social networking (online);
                 sparse social media sensing; SRTD scheme; Task
                 analysis; trusted computing; trustworthy information;
                 truth discovery; truth discovery algorithms; Twitter;
                 twitter; Twitter datasets; work queue",
}

@Article{Lyu:2019:SUS,
  author =       "B. Lyu and Y. Li and J. Fu and A. C. Trapp and H. Xie
                 and Y. Liao",
  title =        "Scalable User-Substation Assignment with Big Data from
                 Power Grids",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "5",
  number =       "2",
  pages =        "209--222",
  month =        jun,
  year =         "2019",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2766153",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "ADMM; big data; Big Data; Big data; Big Data; China;
                 drive power substations; geographical population
                 densities; large-scale power grid data; large-scale
                 spatial power user-substation distribution data;
                 maximum substation utilization; population
                 distributions; power consumption; Power demand; power
                 engineering computing; power grids; Power grids; power
                 substation utilization; power substation-user
                 assignment; power system management; Propagation
                 losses; scalable power user assignment framework;
                 scalable user-substation assignment; Sociology; SPUA
                 framework; Statistics; substations; Substations;
                 temporal user power consumption data; underlying
                 geographical power demand; user-substation location
                 data",
}

@Article{Li:2019:SSB,
  author =       "W. Li and Q. Bai and M. Zhang",
  title =        "{SIMiner}: A Stigmergy-Based Model for Mining
                 Influential Nodes in Dynamic Social Networks",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "5",
  number =       "2",
  pages =        "223--237",
  month =        jun,
  year =         "2019",
  DOI =          "https://doi.org/10.1109/TBDATA.2018.2824826",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Adaptation models; Analytical models; Ant algorithm;
                 Big Data; Collective intelligence; collective
                 intelligence model; complex dynamic environments;
                 Computational modeling; data mining; dynamic scale
                 environment; dynamic social networks; fully dynamic
                 environment; Heuristic algorithms; influence
                 maximization; influential node mining; influential
                 relationships; influential users; Internet; large-scale
                 environment; multi-agent system; online social
                 networking platforms; positive influence; Social
                 network services; social networking (online); static
                 social networks; stigmergy; stigmergy-based influencers
                 miner; stigmergy-based model",
}

@Article{Qiu:2019:TGC,
  author =       "C. Qiu and H. Shen and L. Chen",
  title =        "Towards Green Cloud Computing: Demand Allocation and
                 Pricing Policies for Cloud Service Brokerage",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "5",
  number =       "2",
  pages =        "238--251",
  month =        jun,
  year =         "2019",
  DOI =          "https://doi.org/10.1109/TBDATA.2018.2823330",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Amazon EC2; Approximation algorithms; Big Data; cloud
                 computing; Cloud computing; cloud market; cloud
                 providers energy cost; cloud service brokerage; CSB;
                 demand allocation; Energy consumption; energy
                 efficiency; green cloud companies; green cloud
                 computing; green computing; high service level
                 performance; pricing; Pricing; pricing policy; Resource
                 management; Servers; tenants demands; total energy
                 cost",
}

@Article{Malensek:2019:TDS,
  author =       "M. Malensek and W. Budgaga and R. Stern and S.
                 Pallickara and S. L. Pallickara",
  title =        "{Trident}: Distributed Storage, Analysis, and
                 Exploration of Multidimensional Phenomena",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "5",
  number =       "2",
  pages =        "252--265",
  month =        jun,
  year =         "2019",
  DOI =          "https://doi.org/10.1109/TBDATA.2018.2817505",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Analytical models; Biological system modeling;
                 computational capacities; Computational modeling; data
                 analysis; Data models; Diseases; diseases; Distributed
                 analytics; distributed analytics platform; distributed
                 storage; high-level data exploration functionality;
                 indexing; learning (artificial intelligence); machine
                 learning; machine learning models; meta data; metadata
                 extraction; multidimensional phenomena; natural
                 phenomena; parameterizations; petabyte epidemiology
                 dataset; selective retrievals; Sparks; storage
                 management; training data; Training data; Trident
                 handles data partitioning; usage patterns; voluminous
                 data management; voluminous datasets",
}

@Article{Zhang:2019:UUD,
  author =       "M. Zhang and H. Fu and Y. Li and S. Chen",
  title =        "Understanding Urban Dynamics From Massive Mobile
                 Traffic Data",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "5",
  number =       "2",
  pages =        "266--278",
  month =        jun,
  year =         "2019",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2778721",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Fri Aug 2 11:24:47 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Big Data; cellular radio; cellular towers; Complexity
                 theory; data decomposition; human daily activity
                 patterns; Market research; massive mobile traffic data;
                 Mobile communication; Mobile data; mobile data
                 consumption; mobile radio; mobile traffic; Poles and
                 towers; telecommunication traffic; time series; Time
                 series analysis; urban areas; Urban areas; urban
                 computing; urban dynamics; urban human activities;
                 urban traffic patterns",
}

@Article{Choo:2019:SIB,
  author =       "K. R. Choo and M. Conti and A. Dehghantanha",
  title =        "Special Issue on Big Data Applications in Cyber
                 Security and Threat Intelligence: {Part 1}",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "5",
  number =       "3",
  pages =        "279--281",
  month =        sep,
  year =         "2019",
  DOI =          "https://doi.org/10.1109/TBDATA.2019.2933039",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Tue Oct 29 11:08:44 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Big Data applications; Computer crime; Computer
                 security; Data analysis; Special issues and sections",
}

@Article{Abawajy:2019:ICF,
  author =       "J. H. Abawajy and A. Kelarev",
  title =        "Iterative Classifier Fusion System for the Detection
                 of {Android} Malware",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "5",
  number =       "3",
  pages =        "282--292",
  month =        sep,
  year =         "2019",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2676100",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Tue Oct 29 11:08:44 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Android (operating system); Android devices; Android
                 malware; Android malware detection; Android platform;
                 Androids; Big data; big data; big data security;
                 classifier fusion; cloud security; Feature extraction;
                 feature selection; Humanoid robots; ICFS; IFS feature
                 selection; invasive software; iterative classifier
                 fusion system; iterative feature selection procedure;
                 iterative methods; iterative systems; LibSVM; malicious
                 software; Malware; multiclassifier fusion systems;
                 multilayer perceptron; multilayer perceptrons; NBtree
                 classifier; particle swarm optimisation; particle swarm
                 optimization; pattern classification; polynomial
                 kernel; Security; Smart phones; smartphone security;
                 support vector machines; wrapper subset evaluator",
}

@Article{AlMahmoud:2019:SPP,
  author =       "A. AlMahmoud and E. Damiani and H. Otrok and Y.
                 Al-Hammadi",
  title =        "{Spamdoop}: a Privacy-Preserving Big Data Platform for
                 Collaborative Spam Detection",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "5",
  number =       "3",
  pages =        "293--304",
  month =        sep,
  year =         "2019",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2716409",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Tue Oct 29 11:08:44 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/hash.bib;
                 http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Big Data; Collaboration; collaborative spam detection
                 techniques; data privacy; distance-preserving hashes;
                 e-mail content; Encoding; groupware; large scale e-mail
                 data; large-scale collaborative solutions; Map Reduce;
                 message classification; parallel encoding technique;
                 parallel processing; Privacy; privacy-preserving
                 analysis; privacy-preserving Big data platform; Spam
                 campaign; spam generation tools; Spamdoop; standard Map
                 Reduce facility; unsolicited e-mail; Unsolicited
                 electronic mail",
}

@Article{Haider:2019:DAB,
  author =       "W. Haider and J. Hu and Y. Xie and X. Yu and Q. Wu",
  title =        "Detecting Anomalous Behavior in Cloud Servers by
                 Nested-Arc Hidden Semi-{Markov} Model with State
                 Summarization",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "5",
  number =       "3",
  pages =        "305--316",
  month =        sep,
  year =         "2019",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2736555",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Tue Oct 29 11:08:44 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "anomaly detection; anomaly detection algorithm;
                 behavioral threshold; Big Data; big data analytic;
                 cloud computing; cloud servers; Computational modeling;
                 cyber security; Data models; dynamic usage behavior;
                 file servers; hidden Markov chains; hidden Markov
                 models; Hidden Markov models; HMM; IDS; intrusion
                 detection; NAHSMM; nested-arc hidden semiMarkov model;
                 raw sequence; Reliability; security of data; Servers;
                 state summarization; System calls; Training",
}

@Article{Tang:2019:BDC,
  author =       "M. Tang and M. Alazab and Y. Luo",
  title =        "Big Data for Cybersecurity: Vulnerability Disclosure
                 Trends and Dependencies",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "5",
  number =       "3",
  pages =        "317--329",
  month =        sep,
  year =         "2019",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2723570",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Tue Oct 29 11:08:44 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "attack targets; Big Data; Big data; Biological system
                 modeling; business data processing; complex Big Data
                 systems; complex historical vulnerability data;
                 computer crime; Computer security; copula; cyber risk;
                 cyber risk management; cybercrime; cybersecurity; Data
                 models; long-term dependency; Market research; modern
                 organisations; multivariate dependence structure;
                 organisational aspects; organisations struggle; real
                 world vulnerability data; risk management; Software;
                 specialised attacks; statistical models; threat agents;
                 time series; Time series analysis; univariate time
                 series; vulnerability; vulnerability disclosure trends;
                 vulnerability disclosures; vulnerability management;
                 vulnerability proliferation; vulnerability risks;
                 zero-day",
}

@Article{Cui:2019:ABS,
  author =       "H. Cui and R. H. Deng and Y. Li and G. Wu",
  title =        "Attribute-Based Storage Supporting Secure
                 Deduplication of Encrypted Data in Cloud",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "5",
  number =       "3",
  pages =        "330--342",
  month =        sep,
  year =         "2019",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2656120",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Tue Oct 29 11:08:44 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/cryptography2010.bib;
                 http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "ABE; access policy; attribute-based storage system;
                 authorisation; Cloud computing; cloud computing; cloud
                 service provider; cryptography; data confidentiality;
                 data deduplication systems; data provider;
                 deduplication; duplicate copies; duplicate detection;
                 encrypted data; encryption; Encryption; hybrid cloud
                 setting; identical data; network bandwidth;
                 outsourcing; private cloud; public cloud; secure
                 deduplication; Secure storage; security notion;
                 semantic security; Semantics; standard ABE system;
                 Standards; storage; storage management; storage space",
}

@Article{Ding:2019:ERI,
  author =       "X. Ding and L. Wang and Z. Shao and H. Jin",
  title =        "Efficient Recommendation of De-Identification Policies
                 Using {MapReduce}",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "5",
  number =       "3",
  pages =        "343--354",
  month =        sep,
  year =         "2019",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2690660",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Tue Oct 29 11:08:44 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "ADULTS dataset; anonymization; AOL dataset;
                 approximate skyline computation scheme; approximately
                 domination relationship; Big Data; Computational
                 modeling; data handling; Data privacy; data privacy;
                 data utility; De-identification policy; Indexes;
                 individual privacy; information filtering; Lattices;
                 MapReduce; Measurement; parallel algorithm; parallel
                 algorithms; policy space generation stage; Privacy;
                 query processing; re-identification attacks;
                 re-identification risks; recommender systems; scale
                 de-identification policies; SKY-FILTER-MR; skyline
                 computation",
}

@Article{Feng:2019:SHO,
  author =       "J. Feng and L. T. Yang and G. Dai and W. Wang and D.
                 Zou",
  title =        "A Secure High-Order {Lanczos}-Based Orthogonal Tensor
                 {SVD} for Big Data Reduction in Cloud Environment",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "5",
  number =       "3",
  pages =        "355--367",
  month =        sep,
  year =         "2019",
  DOI =          "https://doi.org/10.1109/TBDATA.2018.2803841",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Tue Oct 29 11:08:44 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/cryptography2010.bib;
                 http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Big Data; big data applications; big data reduction;
                 big data techniques; Cloud computing; cloud computing;
                 Computational complexity; Cryptography; cyber
                 forensics; Cyber security; cyber security applications;
                 data reduction; data security; digital forensics;
                 garbled tensor; high-order big data reduction;
                 high-order data; high-order lanczos method; high-order
                 lanczos-based orthogonal tensor SVD algorithm; matrix
                 data; orthogonal tensor SVD; outsourcing; Protocols;
                 secure orthogonal tensor SVD method; singular value
                 decomposition; Tensile stress; tensors",
}

@Article{Liao:2019:ESO,
  author =       "W. Liao and C. Luo and S. Salinas and P. Li",
  title =        "Efficient Secure Outsourcing of Large-Scale Convex
                 Separable Programming for Big Data",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "5",
  number =       "3",
  pages =        "368--378",
  month =        sep,
  year =         "2019",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2787198",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Tue Oct 29 11:08:44 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Amazon Elastic cloud computing platform; Big Data; big
                 data; big data applications; chosen-plaintext attack;
                 cloud computing; Cloud computing; Companies;
                 computational complexity; computing resources;
                 confidential data; Convex separable programming; convex
                 separable programming problems; cryptography; data
                 analysis; data privacy; data security and privacy;
                 efficient secure outsourcing scheme; Encryption;
                 large-scale convex separable programming; large-scale
                 data analytics; Outsourcing; outsourcing; Programming;
                 time savings; vector transformation schemes; vectors",
}

@Article{Puthal:2019:SSE,
  author =       "D. Puthal and X. Wu and N. Surya and R. Ranjan and J.
                 Chen",
  title =        "{SEEN}: A Selective Encryption Method to Ensure
                 Confidentiality for Big Sensing Data Streams",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "5",
  number =       "3",
  pages =        "379--392",
  month =        sep,
  year =         "2019",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2702172",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Tue Oct 29 11:08:44 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/cryptography2010.bib;
                 http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Big Data; big data; Big data; Big data stream; big
                 sensing data streams; critical applications;
                 cryptography; data confidentiality; data integrity;
                 data security; Data Stream Manager; decision-making;
                 Encryption; high data trustworthiness; multilevel data
                 confidentiality; Real-time systems; resource
                 constrained sensing devices; selective encryption;
                 selective encryption method; self-organizing wireless
                 sensor networks; sensed data types; Sensors; smart
                 health; telecommunication security; wireless sensor
                 networks",
}

@Article{Yan:2019:HDS,
  author =       "Z. Yan and L. Zhang and W. DING and Q. Zheng",
  title =        "Heterogeneous Data Storage Management with
                 Deduplication in Cloud Computing",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "5",
  number =       "3",
  pages =        "393--407",
  month =        sep,
  year =         "2019",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2701352",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Tue Oct 29 11:08:44 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/cryptography2010.bib;
                 http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "access control; Access control; access control;
                 authorisation; Big data; cloud computing; Cloud
                 computing; cloud servers; cloud storage; cloud users;
                 cryptography; Data deduplication; data owners; data
                 privacy; data sensitivity; data sharing; deduplication
                 management; encrypted data storage; Encryption;
                 heterogeneous data storage management; Memory; multiple
                 Cloud Service Providers; outsourcing; security
                 analysis; storage management",
}

@Article{SoltaniPanah:2019:CDG,
  author =       "A. {Soltani Panah} and A. Yavari and R. {van Schyndel}
                 and D. Georgakopoulos and X. Yi",
  title =        "Context-Driven Granular Disclosure Control for
                 {Internet of Things} Applications",
  journal =      j-IEEE-TRANS-BIG-DATA,
  volume =       "5",
  number =       "3",
  pages =        "408--422",
  month =        sep,
  year =         "2019",
  DOI =          "https://doi.org/10.1109/TBDATA.2017.2737463",
  ISSN =         "2332-7790",
  ISSN-L =       "2332-7790",
  bibdate =      "Tue Oct 29 11:08:44 2019",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/cryptography2010.bib;
                 http://www.math.utah.edu/pub/tex/bib/ieeetransbigdata.bib;
                 http://www.math.utah.edu/pub/tex/bib/prng.bib",
  acknowledgement = ack-nhfb,
  fjournal =     "IEEE Transactions on Big Data",
  journal-URL =  "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6687317",
  keywords =     "Authorization; context; context-driven disclosure
                 policies; context-driven granular disclosure control;
                 data handling; data lifecycle; Data models; data
                 obfuscation; data privacy; Data privacy; data stream
                 watermarking techniques; data utility; digital
                 watermark; Internet of Things; IoT data collection; IoT
                 environments; multigranular obfuscation; Privacy;
                 privacy enforcement; Privacy preservation; privacy
                 preservation techniques; pseudorandom numbers; security
                 of data; technology revolution; Watermarking",
}