Valid HTML 4.0! Valid CSS!
%%% -*-BibTeX-*-
%%% ====================================================================
%%%  BibTeX-file{
%%%     author          = "Nelson H. F. Beebe",
%%%     version         = "1.00",
%%%     date            = "07 April 2020",
%%%     time            = "15:15:36 MDT",
%%%     filename        = "tds.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        = "55518 312 1333 13158",
%%%     email           = "beebe at math.utah.edu, beebe at acm.org,
%%%                        beebe at computer.org (Internet)",
%%%     codetable       = "ISO/ASCII",
%%%     keywords        = "ACM/IMS Transactions on Data Science
%%%                        (TDS); bibliography; BibTeX",
%%%     license         = "public domain",
%%%     supported       = "yes",
%%%     docstring       = "This is a COMPLETE BibTeX bibliography for
%%%                        ACM/IMS Transactions on Data Science (TDS)
%%%                        (CODEN ????, ISSN 2691-1922).  The journal
%%%                        appears quarterly, and publication began with
%%%                        volume 1, number 1, in February 2020.
%%%
%%%                        At version 1.00, the COMPLETE journal
%%%                        coverage looked like this:
%%%
%%%                             2020 (   7)
%%%
%%%                             Article:          7
%%%
%%%                             Total entries:    7
%%%
%%%                        The journal Web page can be found at:
%%%
%%%                            http://tds.acm.org/
%%%                            https://dl.acm.org/journal/tds
%%%
%%%                        The journal table of contents page is at:
%%%
%%%                            https://dl.acm.org/loi/tds
%%%
%%%                        Qualified subscribers can retrieve the full
%%%                        text of recent articles in PDF form.
%%%
%%%                        The initial draft was extracted from the ACM
%%%                        Web pages.
%%%
%%%                        ACM copyrights explicitly permit abstracting
%%%                        with credit, so article abstracts, keywords,
%%%                        and subject classifications have been
%%%                        included in this bibliography wherever
%%%                        available.  Article reviews have been
%%%                        omitted, until their copyright status has
%%%                        been clarified.
%%%
%%%                        URL keys in the bibliography point to
%%%                        World Wide Web locations of additional
%%%                        information about the entry.
%%%
%%%                        BibTeX citation tags are uniformly chosen
%%%                        as name:year:abbrev, where name is the
%%%                        family name of the first author or editor,
%%%                        year is a 4-digit number, and abbrev is a
%%%                        3-letter condensation of important title
%%%                        words. Citation tags were automatically
%%%                        generated by software developed for the
%%%                        BibNet Project.
%%%
%%%                        In this bibliography, entries are sorted in
%%%                        publication order, using ``bibsort -byvolume.''
%%%
%%%                        The checksum field above contains a CRC-16
%%%                        checksum as the first value, followed by the
%%%                        equivalent of the standard UNIX wc (word
%%%                        count) utility output of lines, words, and
%%%                        characters.  This is produced by Robert
%%%                        Solovay's checksum utility.",
%%%  }
%%% ====================================================================
@Preamble{"\input bibnames.sty" #
    "\ifx \undefined \booktitle  \def \booktitle #1{{{\em #1}}}    \fi" #
    "\ifx \undefined \TM         \def \TM          {${}^{\sc TM}$} \fi"
}

%%% ====================================================================
%%% 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-TDS                   = "ACM Transactions on Data Science
                                  (TDS)"}

%%% ====================================================================
%%% Bibliography entries:

@Article{Ooi:2020:IIE,
  author =       "Beng Chin Ooi",
  title =        "Inaugural Issue Editorial",
  journal =      j-TDS,
  volume =       "1",
  number =       "1",
  pages =        "1:1--1:2",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3368254",
  ISSN =         "2691-1922",
  ISSN-L =       "2691-1922",
  bibdate =      "Tue Apr 7 15:14:47 MDT 2020",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/tds.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3368254",
  acknowledgement = ack-nhfb,
  articleno =    "1",
  fjournal =     "ACM Transactions on Data Science",
  journal-URL =  "https://dl.acm.org/loi/tds",
}

@Article{Chakraborty:2020:EDA,
  author =       "Tanmoy Chakraborty and Noseong Park and Ayush Agarwal
                 and V. S. Subrahmanian",
  title =        "Ensemble Detection and Analysis of Communities in
                 Complex Networks",
  journal =      j-TDS,
  volume =       "1",
  number =       "1",
  pages =        "2:1--2:34",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3313374",
  ISSN =         "2691-1922",
  ISSN-L =       "2691-1922",
  bibdate =      "Tue Apr 7 15:14:47 MDT 2020",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/tds.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3313374",
  abstract =     "Though much work has been done on ensemble clustering
                 in data mining, the application of ensemble methods to
                 community detection in networks is in its infancy. In
                 this article, we propose MeDOF, an ensemble method
                 which performs disjoint, overlapping, \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "2",
  fjournal =     "ACM Transactions on Data Science",
  journal-URL =  "https://dl.acm.org/loi/tds",
}

@Article{Li:2020:GBR,
  author =       "Guohui Li and Qi Chen and Bolong Zheng and Hongzhi Yin
                 and Quoc Viet Hung Nguyen and Xiaofang Zhou",
  title =        "Group-Based Recurrent Neural Networks for {POI}
                 Recommendation",
  journal =      j-TDS,
  volume =       "1",
  number =       "1",
  pages =        "3:1--3:18",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3343037",
  ISSN =         "2691-1922",
  ISSN-L =       "2691-1922",
  bibdate =      "Tue Apr 7 15:14:47 MDT 2020",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/tds.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3343037",
  abstract =     "With the development of mobile Internet, many
                 location-based services have accumulated a large amount
                 of data that can be used for point-of-interest (POI)
                 recommendation. However, there are still challenges in
                 developing an unified framework to \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "3",
  fjournal =     "ACM Transactions on Data Science",
  journal-URL =  "https://dl.acm.org/loi/tds",
}

@Article{Li:2020:MAF,
  author =       "Xiangyang Li and Luis Herranz and Shuqiang Jiang",
  title =        "Multifaceted Analysis of Fine-Tuning in a Deep Model
                 for Visual Recognition",
  journal =      j-TDS,
  volume =       "1",
  number =       "1",
  pages =        "4:1--4:22",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3319500",
  ISSN =         "2691-1922",
  ISSN-L =       "2691-1922",
  bibdate =      "Tue Apr 7 15:14:47 MDT 2020",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/tds.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3319500",
  abstract =     "In recent years, convolutional neural networks (CNNs)
                 have achieved impressive performance for various visual
                 recognition scenarios. CNNs trained on large labeled
                 datasets not only obtain significant performance on
                 most challenging benchmarks but also \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "4",
  fjournal =     "ACM Transactions on Data Science",
  journal-URL =  "https://dl.acm.org/loi/tds",
}

@Article{Ward:2020:PAA,
  author =       "Katrina Ward and Dan Lin and Sanjay Madria",
  title =        "A Parallel Algorithm For Anonymizing Large-scale
                 Trajectory Data",
  journal =      j-TDS,
  volume =       "1",
  number =       "1",
  pages =        "5:1--5:26",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3368639",
  ISSN =         "2691-1922",
  ISSN-L =       "2691-1922",
  bibdate =      "Tue Apr 7 15:14:47 MDT 2020",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/tds.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3368639",
  abstract =     "With the proliferation of location-based services
                 enabled by a large number of mobile devices and
                 applications, the quantity of location data, such as
                 trajectories collected by service providers, is
                 gigantic. If these datasets could be published, then
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "5",
  fjournal =     "ACM Transactions on Data Science",
  journal-URL =  "https://dl.acm.org/loi/tds",
}

@Article{Theil:2020:EFU,
  author =       "Christoph Kilian Theil and Sanja Stajner and Heiner
                 Stuckenschmidt",
  title =        "Explaining Financial Uncertainty through Specialized
                 Word Embeddings",
  journal =      j-TDS,
  volume =       "1",
  number =       "1",
  pages =        "6:1--6:19",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3343039",
  ISSN =         "2691-1922",
  ISSN-L =       "2691-1922",
  bibdate =      "Tue Apr 7 15:14:47 MDT 2020",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/tds.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3343039",
  abstract =     "The detection of vague, speculative, or otherwise
                 uncertain language has been performed in the
                 encyclopedic, political, and scientific domains yet
                 left relatively untouched in finance. However, the
                 latter benefits from public sources of big financial
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "6",
  fjournal =     "ACM Transactions on Data Science",
  journal-URL =  "https://dl.acm.org/loi/tds",
}

@Article{Beigi:2020:SPS,
  author =       "Ghazaleh Beigi and Huan Liu",
  title =        "A Survey on Privacy in Social Media: Identification,
                 Mitigation, and Applications",
  journal =      j-TDS,
  volume =       "1",
  number =       "1",
  pages =        "7:1--7:38",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3343038",
  ISSN =         "2691-1922",
  ISSN-L =       "2691-1922",
  bibdate =      "Tue Apr 7 15:14:47 MDT 2020",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/tds.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3343038",
  abstract =     "The increasing popularity of social media has
                 attracted a huge number of people to participate in
                 numerous activities on a daily basis. This results in
                 tremendous amounts of rich user-generated data. These
                 data provide opportunities for researchers and
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "7",
  fjournal =     "ACM Transactions on Data Science",
  journal-URL =  "https://dl.acm.org/loi/tds",
}