Table of contents for issues of ACM Transactions on Knowledge Discovery from Data (TKDD)

Last update: Mon Jan 22 09:28:41 MST 2018                Valid HTML 3.2!

Volume 1, Number 1, March, 2007
Volume 1, Number 2, August, 2007
Volume 1, Number 3, December, 2007
Volume 1, Number 4, January, 2008
Volume 2, Number 1, March, 2008
Volume 2, Number 2, July, 2008
Volume 2, Number 3, October, 2008
Volume 2, Number 4, January, 2009
Volume 3, Number 1, March, 2009
Volume 3, Number 2, April, 2009
Volume 3, Number 3, July, 2009
Volume 3, Number 4, November, 2009
Volume 4, Number 1, January, 2010
Volume 4, Number 2, May, 2010
Volume 4, Number 3, October, 2010
Volume 4, Number 4, October, 2010
Volume 5, Number 1, December, 2010
Volume 5, Number 2, February, 2011
Volume 5, Number 3, August, 2011
Volume 5, Number 4, February, 2012
Volume 6, Number 1, March, 2012
Volume 6, Number 2, July, 2012
Volume 6, Number 3, October, 2012
Volume 6, Number 4, December, 2012
Volume 7, Number 1, March, 2013
Volume 7, Number 2, July, 2013
Volume 7, Number 3, September, 2013
Volume 7, Number 4, November, 2013
Volume 8, Number 1, February, 2014
Volume 8, Number 2, June, 2014
Volume 8, Number 3, June, 2014
Volume 8, Number 4, August, 2014
Volume 9, Number 1, August, 2014
Volume 9, Number 2, September, 2014
Volume 9, Number 3, April, 2015
Volume 9, Number 4, June, 2015
Volume 10, Number 1, July, 2015
Volume 10, Number 2, October, 2015
Volume 10, Number 3, February, 2016
Volume 10, Number 4, July, 2016
Volume 11, Number 1, August, 2016
Volume 11, Number 2, December, 2016
Volume 11, Number 3, April, 2017
Volume 11, Number 4, August, 2017


ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 1, Number 1, March, 2007

                     Jiawei Han   Introduction . . . . . . . . . . . . . . 1:1--1:??
              Jure Leskovec and   
              Jon Kleinberg and   
             Christos Faloutsos   Graph evolution: Densification and
                                  shrinking diameters  . . . . . . . . . . 2:1--2:??
     Ashwin Machanavajjhala and   
               Daniel Kifer and   
            Johannes Gehrke and   
Muthuramakrishnan Venkitasubramaniam   $L$-diversity: Privacy beyond
                                  $k$-anonymity  . . . . . . . . . . . . . 3:1--3:??
           Aristides Gionis and   
             Heikki Mannila and   
            Panayiotis Tsaparas   Clustering aggregation . . . . . . . . . 4:1--4:??
      Indrajit Bhattacharya and   
                    Lise Getoor   Collective entity resolution in
                                  relational data  . . . . . . . . . . . . 5:1--5:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 1, Number 2, August, 2007

                Wei-Yin Loh and   
             Chien-Wei Chen and   
                      Wei Zheng   Extrapolation errors in linear model
                                  trees  . . . . . . . . . . . . . . . . . 6:1--6:??
              Minghua Zhang and   
                    Ben Kao and   
            David W. Cheung and   
                   Kevin Y. Yip   Mining periodic patterns with gap
                                  requirement from sequences . . . . . . . 7:1--7:??
              Jen-Wei Huang and   
                  Bi-Ru Dai and   
                 Ming-Syan Chen   Twain: Two-end association miner with
                                  precise frequent exhibition periods  . . 8:1--8:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 1, Number 3, December, 2007

           Roberto Bayardop and   
         Kristin P. Bennett and   
                 Gautam Das and   
        Dimitrios Gunopulos and   
             Johannes Gunopulos   Introduction to special issue ACM SIGKDD
                                  2006 . . . . . . . . . . . . . . . . . . 9:1--9:??
        Christian Böhm and   
         Christos Faloutsos and   
                 Jia-Yu Pan and   
                  Claudia Plant   RIC: Parameter-free noise-robust
                                  clustering . . . . . . . . . . . . . . . 10:1--10:??
                Qiaozhu Mei and   
                   Dong Xin and   
                 Hong Cheng and   
                 Jiawei Han and   
                Chengxiang Zhai   Semantic annotation of frequent patterns 11:1--11:??
               Yehuda Koren and   
           Stephen C. North and   
                 Chris Volinsky   Measuring and extracting proximity
                                  graphs in networks . . . . . . . . . . . 12:1--12:??
            Alexander Ihler and   
               Jon Hutchins and   
                 Padhraic Smyth   Learning to detect events with
                                  Markov-modulated Poisson processes . . . 13:1--13:??
           Aristides Gionis and   
             Heikki Mannila and   
    Taneli Mielikäinen and   
            Panayiotis Tsaparas   Assessing data mining results via swap
                                  randomization  . . . . . . . . . . . . . 14:1--14:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 1, Number 4, January, 2008

                   Lei Tang and   
                   Huan Liu and   
             Jianping Zhang and   
              Nitin Agarwal and   
                John J. Salerno   Topic taxonomy adaptation for group
                                  profiling  . . . . . . . . . . . . . . . 1:1--1:??
             Graham Cormode and   
                  Flip Korn and   
           S. Muthukrishnan and   
              Divesh Srivastava   Finding hierarchical heavy hitters in
                                  streaming data . . . . . . . . . . . . . 2:1--2:??
              Manas Somaiya and   
       Christopher Jermaine and   
                   Sanjay Ranka   Learning correlations using the
                                  mixture-of-subsets model . . . . . . . . 3:1--3:??
                 M. Halkidi and   
               D. Gunopulos and   
            M. Vazirgiannis and   
                   N. Kumar and   
                  C. Domeniconi   A clustering framework based on
                                  subjective and objective validity
                                  criteria . . . . . . . . . . . . . . . . 4:1--4:??


ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 2, Number 1, March, 2008

           Mohammed J. Zaki and   
             George Karypis and   
                 Jiong Yang and   
                       Wei Wang   Introduction to special issue on
                                  bioinformatics . . . . . . . . . . . . . 1:1--1:??
                   Ying Jin and   
               T. M. Murali and   
             Naren Ramakrishnan   Compositional mining of multirelational
                                  biological datasets  . . . . . . . . . . 2:1--2:??
               Saurav Sahay and   
          Sougata Mukherjea and   
           Eugene Agichtein and   
           Ernest V. Garcia and   
        Shamkant B. Navathe and   
                     Ashwin Ram   Discovering semantic biomedical
                                  relations utilizing the Web  . . . . . . 3:1--3:??
                 Jieping Ye and   
               Jianhui Chen and   
              Ravi Janardan and   
                   Sudhir Kumar   Developmental stage annotation of
                                  Drosophila gene expression pattern
                                  images via an entire solution path for
                                  LDA  . . . . . . . . . . . . . . . . . . 4:1--4:??
                  Yijuan Lu and   
                    Qi Tian and   
             Jennifer Neary and   
                   Feng Liu and   
                    Yufeng Wang   Adaptive discriminant analysis for
                                  microarray-based classification  . . . . 5:1--5:??
           Kosuke Hashimoto and   
Kiyoko Flora Aoki-Kinoshita and   
              Nobuhisa Ueda and   
            Minoru Kanehisa and   
              Hiroshi Mamitsuka   A new efficient probabilistic model for
                                  mining labeled ordered trees applied to
                                  glycobiology . . . . . . . . . . . . . . 6:1--6:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 2, Number 2, July, 2008

                    Rong Ge and   
               Martin Ester and   
               Byron J. Gao and   
                Zengjian Hu and   
         Binay Bhattacharya and   
                 Boaz Ben-Moshe   Joint cluster analysis of attribute data
                                  and relationship data: The connected
                                  $k$-center problem, algorithms and
                                  applications . . . . . . . . . . . . . . 7:1--7:??
               Gunjan Gupta and   
                  Joydeep Ghosh   Bregman bubble clustering: a robust
                                  framework for mining dense clusters  . . 8:1--8:??
                  Henry Tan and   
               Fedja Hadzic and   
           Tharam S. Dillon and   
            Elizabeth Chang and   
                      Ling Feng   Tree model guided candidate generation
                                  for mining frequent subtrees from XML
                                  documents  . . . . . . . . . . . . . . . 9:1--9:??
               Aminul Islam and   
                   Diana Inkpen   Semantic text similarity using
                                  corpus-based word similarity and string
                                  similarity . . . . . . . . . . . . . . . 10:1--10:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 2, Number 3, October, 2008

                 Jimeng Sun and   
                Dacheng Tao and   
       Spiros Papadimitriou and   
               Philip S. Yu and   
             Christos Faloutsos   Incremental tensor analysis: Theory and
                                  applications . . . . . . . . . . . . . . 11:1--11:??
        Olvi L. Mangasarian and   
             Edward W. Wild and   
                  Glenn M. Fung   Privacy-preserving classification of
                                  vertically partitioned data via random
                                  kernels  . . . . . . . . . . . . . . . . 12:1--12:??
      Laks V. S. Lakshmanan and   
              Raymond T. Ng and   
                  Ganesh Ramesh   On disclosure risk analysis of
                                  anonymized itemsets in the presence of
                                  prior knowledge  . . . . . . . . . . . . 13:1--13:??
             Jaideep Vaidya and   
              Chris Clifton and   
         Murat Kantarcioglu and   
             A. Scott Patterson   Privacy-preserving decision trees over
                                  vertically partitioned data  . . . . . . 14:1--14:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 2, Number 4, January, 2009

              Kun-Ta Chuang and   
             Hung-Leng Chen and   
                 Ming-Syan Chen   Feature-preserved sampling over
                                  streaming data . . . . . . . . . . . . . 15:1--15:??
                Daxin Jiang and   
                       Jian Pei   Mining frequent cross-graph
                                  quasi-cliques  . . . . . . . . . . . . . 16:1--16:??
        Carlotta Domeniconi and   
                 Muna Al-Razgan   Weighted cluster ensembles: Methods and
                                  analysis . . . . . . . . . . . . . . . . 17:1--17:??
              Zhenjie Zhang and   
      Laks V. S. Lakshmanan and   
             Anthony K. H. Tung   On domination game analysis for
                                  microeconomic data mining  . . . . . . . 18:1--18:??


ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 3, Number 1, March, 2009

         Hans-Peter Kriegel and   
           Peer Kröger and   
                   Arthur Zimek   Clustering high-dimensional data: A
                                  survey on subspace clustering,
                                  pattern-based clustering, and
                                  correlation clustering . . . . . . . . . 1:1--1:??
            Amit Dhurandhar and   
                     Alin Dobra   Semi-analytical method for analyzing
                                  models and model selection measures
                                  based on moment analysis . . . . . . . . 2:1--2:??
               Lo\"\ic Cerf and   
Jérémy Besson and   
     Céline Robardet and   
 Jean-François Boulicaut   Closed patterns meet $n$-ary relations   3:1--3:??
          Fabrizio Angiulli and   
                 Fabio Fassetti   DOLPHIN: An efficient algorithm for
                                  mining distance-based outliers in very
                                  large datasets . . . . . . . . . . . . . 4:1--4:??
             Bee-Chung Chen and   
         Raghu Ramakrishnan and   
            Jude W. Shavlik and   
                  Pradeep Tamma   Bellwether analysis: Searching for
                                  cost-effective query-defined predictors
                                  in large databases . . . . . . . . . . . 5:1--5:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 3, Number 2, April, 2009

                   Huan Liu and   
               John Salerno and   
              Michael Young and   
             Rakesh Agrawal and   
                   Philip S. Yu   Introduction to special issue on social
                                  computing, behavioral modeling, and
                                  prediction . . . . . . . . . . . . . . . 6:1--6:??
              Andrew Mehler and   
                  Steven Skiena   Expanding network communities from
                                  representative examples  . . . . . . . . 7:1--7:??
                  Yu-Ru Lin and   
                    Yun Chi and   
               Shenghuo Zhu and   
              Hari Sundaram and   
                 Belle L. Tseng   Analyzing communities and their
                                  evolutions in dynamic social networks    8:1--8:??
            Masahiro Kimura and   
               Kazumi Saito and   
                 Hiroshi Motoda   Blocking links to minimize contamination
                                  spread in a social network . . . . . . . 9:1--9:??
           Eugene Agichtein and   
                Yandong Liu and   
                     Jiang Bian   Modeling information-seeker satisfaction
                                  in community question answering  . . . . 10:1--10:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 3, Number 3, July, 2009

            Vetle I. Torvik and   
             Neil R. Smalheiser   Author name disambiguation in MEDLINE    11:1--11:??
                      Li Tu and   
                     Yixin Chen   Stream data clustering based on grid
                                  density and attraction . . . . . . . . . 12:1--12:??
                   Bin Zhou and   
                       Jian Pei   Link spam target detection using page
                                  farms  . . . . . . . . . . . . . . . . . 13:1--13:??
                     Li Wan and   
               Wee Keong Ng and   
             Xuan Hong Dang and   
               Philip S. Yu and   
                     Kuan Zhang   Density-based clustering of data streams
                                  at multiple resolutions  . . . . . . . . 14:1--14:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 3, Number 4, November, 2009

             Heikki Mannila and   
            Dimitrios Gunopulos   ACM TKDD special issue ACM SIGKDD 2007
                                  and ACM SIGKDD 2008  . . . . . . . . . . 15:1--15:??
               Sitaram Asur and   
   Srinivasan Parthasarathy and   
                     Duygu Ucar   An event-based framework for
                                  characterizing the evolutionary behavior
                                  of interaction graphs  . . . . . . . . . 16:1--16:??
                    Yun Chi and   
               Xiaodan Song and   
              Dengyong Zhou and   
                  Koji Hino and   
                 Belle L. Tseng   On evolutionary spectral clustering  . . 17:1--17:??
          Yasuhiro Fujiwara and   
            Yasushi Sakurai and   
             Masaru Kitsuregawa   Fast likelihood search for hidden Markov
                                  models . . . . . . . . . . . . . . . . . 18:1--18:??
                Xiang Zhang and   
                    Fei Zou and   
                       Wei Wang   Efficient algorithms for genome-wide
                                  association study  . . . . . . . . . . . 19:1--19:??
             Mustafa Bilgic and   
                    Lise Getoor   Reflect and correct: A misclassification
                                  prediction approach to active inference  20:1--20:??
              Jerry Kiernan and   
                 Evimaria Terzi   Constructing comprehensive summaries of
                                  large event sequences  . . . . . . . . . 21:1--21:??


ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 4, Number 1, January, 2010

                   Yehuda Koren   Factor in the neighbors: Scalable and
                                  accurate collaborative filtering . . . . 1:1--1:??
               Zeeshan Syed and   
              Collin Stultz and   
             Manolis Kellis and   
                Piotr Indyk and   
                    John Guttag   Motif discovery in physiological
                                  datasets: A methodology for inferring
                                  predictive elements  . . . . . . . . . . 2:1--2:??
               Geoffrey I. Webb   Self-sufficient itemsets: An approach to
                                  screening potentially interesting
                                  associations between items . . . . . . . 3:1--3:??
             Marc Plantevit and   
               Anne Laurent and   
          Dominique Laurent and   
       Maguelonne Teisseire and   
                Yeow Wei Choong   Mining multidimensional and multilevel
                                  sequential patterns  . . . . . . . . . . 4:1--4:??
           Mohammed J. Zaki and   
   Christopher D. Carothers and   
          Boleslaw K. Szymanski   VOGUE: A variable order hidden Markov
                                  model with duration based on frequent
                                  sequence mining  . . . . . . . . . . . . 5:1--5:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 4, Number 2, May, 2010

                   Sunil Vadera   CSNL: A cost-sensitive non-linear
                                  decision tree algorithm  . . . . . . . . 6:1--6:??
         Vasileios Kandylas and   
           S. Phineas Upham and   
                  Lyle H. Ungar   Analyzing knowledge communities using
                                  foreground and background clusters . . . 7:1--7:??
                Shuiwang Ji and   
                   Lei Tang and   
                 Shipeng Yu and   
                     Jieping Ye   A shared-subspace learning framework for
                                  multi-label classification . . . . . . . 8:1--8:??
         Salvatore Ruggieri and   
             Dino Pedreschi and   
                  Franco Turini   Data mining for discrimination discovery 9:1--9:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 4, Number 3, October, 2010

             Lini T. Thomas and   
   Satyanarayana R. Valluri and   
           Kamalakar Karlapalem   MARGIN: Maximal frequent subgraph mining 10:1--10:??
            Meghana Deodhar and   
                  Joydeep Ghosh   SCOAL: A framework for simultaneous
                                  co-clustering and learning from complex
                                  data . . . . . . . . . . . . . . . . . . 11:1--11:??
                Jinlin Chen and   
                      Keli Xiao   BISC: A bitmap itemset support counting
                                  approach for efficient frequent itemset
                                  mining . . . . . . . . . . . . . . . . . 12:1--12:??
             Luca Becchetti and   
                Paolo Boldi and   
            Carlos Castillo and   
               Aristides Gionis   Efficient algorithms for large-scale
                                  local triangle counting  . . . . . . . . 13:1--13:??
                  Yin Zhang and   
                   Zhi-Hua Zhou   Multilabel dimensionality reduction via
                                  dependence maximization  . . . . . . . . 14:1--14:??
                   Ying Cui and   
             Xiaoli Z. Fern and   
                 Jennifer G. Dy   Learning multiple nonredundant
                                  clusterings  . . . . . . . . . . . . . . 15:1--15:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 4, Number 4, October, 2010

                       Wei Wang   TKDD Special Issue: SIGKDD 2009  . . . . 16:1--16:??
                    Ye Chen and   
              Dmitry Pavlov and   
                  John F. Canny   Behavioral Targeting: The Art of Scaling
                                  Up Simple Algorithms . . . . . . . . . . 17:1--17:??
             Noman Mohammed and   
        Benjamin C. M. Fung and   
         Patrick C. K. Hung and   
                Cheuk-Kwong Lee   Centralized and Distributed
                                  Anonymization for High-Dimensional
                                  Healthcare Data  . . . . . . . . . . . . 18:1--18:??
                   Chao Liu and   
                    Fan Guo and   
             Christos Faloutsos   Bayesian Browsing Model: Exact Inference
                                  of Document Relevance from
                                  Petabyte-Scale Data  . . . . . . . . . . 19:1--19:??
                  Mingxi Wu and   
             Chris Jermaine and   
               Sanjay Ranka and   
                Xiuyao Song and   
                      John Gums   A Model-Agnostic Framework for Fast
                                  Spatial Anomaly Detection  . . . . . . . 20:1--20:??


ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 5, Number 1, December, 2010

                 Ning Zhong and   
  Gregory Piatetsky-Shapiro and   
                   Yiyu Yao and   
                   Philip S. Yu   ACM TKDD Special Issue on Knowledge
                                  Discovery for Web Intelligence . . . . . 1:1--1:??
                   Jie Tang and   
                  Limin Yao and   
                  Duo Zhang and   
                     Jing Zhang   A Combination Approach to Web User
                                  Profiling  . . . . . . . . . . . . . . . 2:1--2:??
          Mohamed Bouguessa and   
              Shengrui Wang and   
                Benoit Dumoulin   Discovering Knowledge-Sharing
                                  Communities in Question-Answering Forums 3:1--3:??
       Anon Plangprasopchok and   
                Kristina Lerman   Modeling Social Annotation: A Bayesian
                                  Approach . . . . . . . . . . . . . . . . 4:1--4:??
            Yasushi Sakurai and   
         Christos Faloutsos and   
           Spiros Papadimitriou   Fast Discovery of Group Lag Correlations
                                  in Streams . . . . . . . . . . . . . . . 5:1--5:??
                    Kun Liu and   
                 Evimaria Terzi   A Framework for Computing the Privacy
                                  Scores of Users in Online Social
                                  Networks . . . . . . . . . . . . . . . . 6:1--6:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 5, Number 2, February, 2011

                 Jimeng Sun and   
                    Yan Liu and   
                   Jie Tang and   
                      Chid Apte   Introduction to Special Issue on
                                  Large-Scale Data Mining  . . . . . . . . 7:1--7:??
                    U. Kang and   
 Charalampos E. Tsourakakis and   
            Ana Paula Appel and   
         Christos Faloutsos and   
                  Jure Leskovec   HADI: Mining Radii of Large Graphs . . . 8:1--8:??
           Timothy de Vries and   
                     Hui Ke and   
              Sanjay Chawla and   
                 Peter Christen   Robust Record Linkage Blocking Using
                                  Suffix Arrays and Bloom Filters  . . . . 9:1--9:??
          Daniel M. Dunlavy and   
            Tamara G. Kolda and   
                     Evrim Acar   Temporal Link Prediction Using Matrix
                                  and Tensor Factorizations  . . . . . . . 10:1--10:??
         Panagis Magdalinos and   
       Christos Doulkeridis and   
          Michalis Vazirgiannis   Enhancing Clustering Quality through
                                  Landmark-Based Dimensionality Reduction  11:1--11:??
                 Hong Cheng and   
                  Yang Zhou and   
                  Jeffrey Xu Yu   Clustering Large Attributed Graphs: A
                                  Balance between Structural and Attribute
                                  Similarities . . . . . . . . . . . . . . 12:1--12:??
       Aditya Krishna Menon and   
                  Charles Elkan   Fast Algorithms for Approximating the
                                  Singular Value Decomposition . . . . . . 13:1--13:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 5, Number 3, August, 2011

              Dingding Wang and   
               Shenghuo Zhu and   
                     Tao Li and   
                    Yun Chi and   
                    Yihong Gong   Integrating Document Clustering and
                                  Multidocument Summarization  . . . . . . 14:1--14:??
                 Marc Maier and   
           Matthew Rattigan and   
                   David Jensen   Indexing Network Structure with
                                  Shortest-Path Trees  . . . . . . . . . . 15:1--15:??
      Raymond Chi-Wing Wong and   
            Ada Wai-Chee Fu and   
                    Ke Wang and   
               Philip S. Yu and   
                       Jian Pei   Can the Utility of Anonymized Data be
                                  Used for Privacy Breaches? . . . . . . . 16:1--16:??
                  Yu-Ru Lin and   
                 Jimeng Sun and   
              Hari Sundaram and   
           Aisling Kelliher and   
                Paul Castro and   
                    Ravi Konuru   Community Discovery via Metagraph
                                  Factorization  . . . . . . . . . . . . . 17:1--17:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 5, Number 4, February, 2012

              Charles Elkan and   
                   Yehuda Koren   Guest Editorial for Special Issue KDD'10 18:1--18:??
             Tomoharu Iwata and   
             Takeshi Yamada and   
            Yasushi Sakurai and   
                   Naonori Ueda   Sequential Modeling of Topic Dynamics
                                  with Multiple Timescales . . . . . . . . 19:1--19:??
                Seungil Huh and   
            Stephen E. Fienberg   Discriminative Topic Modeling Based on
                                  Manifold Learning  . . . . . . . . . . . 20:1--20:??
     Manuel Gomez-Rodriguez and   
              Jure Leskovec and   
                 Andreas Krause   Inferring Networks of Diffusion and
                                  Influence  . . . . . . . . . . . . . . . 21:1--21:??
               Jianhui Chen and   
                     Ji Liu and   
                     Jieping Ye   Learning Incoherent Sparse and Low-Rank
                                  Patterns from Multiple Tasks . . . . . . 22:1--22:??
               Hsiang-Fu Yu and   
              Cho-Jui Hsieh and   
              Kai-Wei Chang and   
                   Chih-Jen Lin   Large Linear Classification When Data
                                  Cannot Fit in Memory . . . . . . . . . . 23:1--23:??
               Dafna Shahaf and   
                Carlos Guestrin   Connecting Two (or Less) Dots:
                                  Discovering Structure in News Articles   24:1--24:??


ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 6, Number 1, March, 2012

                 Dino Ienco and   
           Ruggero G. Pensa and   
                       Rosa Meo   From Context to Distance: Learning
                                  Dissimilarity for Categorical Data
                                  Clustering . . . . . . . . . . . . . . . 1:1--1:??
                    Chun Li and   
               Qingyan Yang and   
              Jianyong Wang and   
                        Ming Li   Efficient Mining of Gap-Constrained
                                  Subsequences and Its Various
                                  Applications . . . . . . . . . . . . . . 2:1--2:??
               Fei Tony Liu and   
              Kai Ming Ting and   
                   Zhi-Hua Zhou   Isolation-Based Anomaly Detection  . . . 3:1--3:??
                     Yu Jin and   
              Nick Duffield and   
              Jeffrey Erman and   
            Patrick Haffner and   
             Subhabrata Sen and   
                   Zhi-Li Zhang   A Modular Machine Learning System for
                                  Flow-Level Traffic Classification in
                                  Large Networks . . . . . . . . . . . . . 4:1--4:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 6, Number 2, July, 2012

       Dimitrios Mavroeidis and   
             Panagis Magdalinos   A Sequential Sampling Framework for
                                  Spectral $k$-Means Based on Efficient
                                  Bootstrap Accuracy Estimations:
                                  Application to Distributed Clustering    5:1--5:??
                 Sanmay Das and   
            Malik Magdon-Ismail   A Model for Information Growth in
                                  Collective Wisdom Processes  . . . . . . 6:1--6:??
                Tianbing Xu and   
             Zhongfei Zhang and   
               Philip S. Yu and   
                        Bo Long   Generative Models for Evolutionary
                                  Clustering . . . . . . . . . . . . . . . 7:1--7:??
               Shaojun Wang and   
            Dale Schuurmans and   
                    Yunxin Zhao   The Latent Maximum Entropy Principle . . 8:1--8:??
      Indrajit Bhattacharya and   
           Shantanu Godbole and   
            Sachindra Joshi and   
                   Ashish Verma   Cross-Guided Clustering: Transfer of
                                  Relevant Supervision across Tasks  . . . 9:1--9:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 6, Number 3, October, 2012

              Zhenxing Wang and   
                    Laiwan Chan   Learning Bayesian networks from Markov
                                  random fields: an efficient algorithm
                                  for linear models  . . . . . . . . . . . 10:1--10:??
               Jeffrey Chan and   
               James Bailey and   
         Christopher Leckie and   
                  Michael Houle   ciForager: Incrementally discovering
                                  regions of correlated change in evolving
                                  graphs . . . . . . . . . . . . . . . . . 11:1--11:??
              Dingding Wang and   
               Shenghuo Zhu and   
                     Tao Li and   
                    Yihong Gong   Comparative document summarization via
                                  discriminative sentence selection  . . . 12:1--12:??
    Pedro O. S. Vaz de Melo and   
     Virgilio A. F. Almeida and   
     Antonio A. F. Loureiro and   
             Christos Faloutsos   Forecasting in the NBA and other team
                                  sports: Network effects in action  . . . 13:1--13:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 6, Number 4, December, 2012

              Joydeep Ghosh and   
             Padhraic Smyth and   
             Andrew Tomkins and   
                   Rich Caruana   Special issue on best of SIGKDD 2011 . . 14:1--14:??
            Shachar Kaufman and   
             Saharon Rosset and   
            Claudia Perlich and   
                  Ori Stitelman   Leakage in data mining: Formulation,
                                  detection, and avoidance . . . . . . . . 15:1--15:??
            Michael Mampaey and   
             Jilles Vreeken and   
                  Nikolaj Tatti   Summarizing data succinctly with the
                                  most informative itemsets  . . . . . . . 16:1--16:??
                  Shumo Chu and   
                    James Cheng   Triangle listing in massive networks . . 17:1--17:??
         Rita Chattopadhyay and   
                   Qian Sun and   
                    Wei Fan and   
               Ian Davidson and   
    Sethuraman Panchanathan and   
                     Jieping Ye   Multisource domain adaptation and its
                                  application to early detection of
                                  fatigue  . . . . . . . . . . . . . . . . 18:1--18:??
           Leland Wilkinson and   
              Anushka Anand and   
                 Tuan Nhon Dang   Substantial improvements in the
                                  set-covering projection classifier CHIRP
                                  (composite hypercubes on iterated random
                                  projections) . . . . . . . . . . . . . . 19:1--19:??


ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 7, Number 1, March, 2013

          Fabrizio Angiulli and   
                 Fabio Fassetti   Nearest Neighbor-Based Classification of
                                  Uncertain Data . . . . . . . . . . . . . 1:1--1:??
              Dingding Wang and   
               Shenghuo Zhu and   
                     Tao Li and   
                    Yihong Gong   Comparative Document Summarization via
                                  Discriminative Sentence Selection  . . . 2:1--2:??
              Mohsen Bayati and   
            David F. Gleich and   
                Amin Saberi and   
                      Ying Wang   Message-Passing Algorithms for Sparse
                                  Network Alignment  . . . . . . . . . . . 3:1--3:??
                     Bin Li and   
           Steven C. H. Hoi and   
                Peilin Zhao and   
       Vivekanand Gopalkrishnan   Confidence Weighted Mean Reversion
                                  Strategy for Online Portfolio Selection  4:1--4:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 7, Number 2, July, 2013

              Tiancheng Lou and   
                   Jie Tang and   
              John Hopcroft and   
              Zhanpeng Fang and   
                   Xiaowen Ding   Learning to predict reciprocity and
                                  triadic closure in social networks . . . 5:1--5:??
                Haiqin Yang and   
             Michael R. Lyu and   
                     Irwin King   Efficient online learning for multitask
                                  feature selection  . . . . . . . . . . . 6:1--6:??
                   Yu Zhang and   
                  Dit-Yan Yeung   Multilabel relationship learning . . . . 7:1--7:??
                  Jing Peng and   
           Guna Seetharaman and   
                    Wei Fan and   
                   Aparna Varde   Exploiting Fisher and Fukunaga--Koontz
                                  transforms in Chernoff dimensionality
                                  reduction  . . . . . . . . . . . . . . . 8:1--8:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 7, Number 3, September, 2013

             Deepak Agarwal and   
               Rich Caruana and   
                   Jian Pei and   
                        Ke Wang   Introduction to the Special Issue ACM
                                  SIGKDD 2012  . . . . . . . . . . . . . . 9:1--9:??
      Thanawin Rakthanmanon and   
             Bilson Campana and   
             Abdullah Mueen and   
            Gustavo Batista and   
           Brandon Westover and   
                  Qiang Zhu and   
              Jesin Zakaria and   
                   Eamonn Keogh   Addressing Big Data Time Series: Mining
                                  Trillions of Time Series Subsequences
                                  Under Dynamic Time Warping . . . . . . . 10:1--10:??
                 Yizhou Sun and   
             Brandon Norick and   
                 Jiawei Han and   
                 Xifeng Yan and   
               Philip S. Yu and   
                        Xiao Yu   PathSelClus: Integrating Meta-Path
                                  Selection with User-Guided Object
                                  Clustering in Heterogeneous Information
                                  Networks . . . . . . . . . . . . . . . . 11:1--11:??
              Kedar Bellare and   
             Suresh Iyengar and   
        Aditya Parameswaran and   
                 Vibhor Rastogi   Active Sampling for Entity Matching with
                                  Guarantees . . . . . . . . . . . . . . . 12:1--12:??
         Rita Chattopadhyay and   
                 Zheng Wang and   
                    Wei Fan and   
               Ian Davidson and   
    Sethuraman Panchanathan and   
                     Jieping Ye   Batch Mode Active Sampling Based on
                                  Marginal Probability Distribution
                                  Matching . . . . . . . . . . . . . . . . 13:1--13:??
             Forrest Briggs and   
             Xiaoli Z. Fern and   
                Raviv Raich and   
                         Qi Lou   Instance Annotation for Multi-Instance
                                  Multi-Label Learning . . . . . . . . . . 14:1--14:??
                    Ming Ji and   
                 Binbin Lin and   
                 Xiaofei He and   
                   Deng Cai and   
                     Jiawei Han   Parallel Field Ranking . . . . . . . . . 15:1--15:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 7, Number 4, November, 2013

                Sibel Adali and   
        Malik Magdon-Ismail and   
                     Xiaohui Lu   iHypR: Prominence ranking in networks of
                                  collaborations with hyperedges 1 . . . . 16:1--16:??
                  Jin Huang and   
                Feiping Nie and   
                 Heng Huang and   
                Yi-Cheng Tu and   
                         Yu Lei   Social trust prediction using
                                  heterogeneous networks . . . . . . . . . 17:1--17:??
            Antonella Guzzo and   
               Luigi Moccia and   
           Domenico Sacc\`a and   
                  Edoardo Serra   Solving inverse frequent itemset mining
                                  with infrequency constraints via
                                  large-scale linear programs  . . . . . . 18:1--18:??
 José L. Balcázar   Formal and computational properties of
                                  the confidence boost of association
                                  rules  . . . . . . . . . . . . . . . . . 19:1--19:??
               Hock Hee Ang and   
   Vivekanand Gopalkrishnan and   
           Steven C. H. Hoi and   
                   Wee Keong Ng   Classification in P2P networks with
                                  cascade support vector machines  . . . . 20:1--20:??


ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 8, Number 1, February, 2014

                   Wei Chen and   
                       Jie Tang   Introduction to special issue on
                                  computational aspects of social and
                                  information networks: Theory,
                                  methodologies, and applications
                                  (TKDD-CASIN) . . . . . . . . . . . . . . 1:1--1:??
                   Zhi Yang and   
             Christo Wilson and   
                  Xiao Wang and   
               Tingting Gao and   
                Ben Y. Zhao and   
                      Yafei Dai   Uncovering social network Sybils in the
                                  wild . . . . . . . . . . . . . . . . . . 2:1--2:??
                Ruoming Jin and   
              Victor E. Lee and   
                     Longjie Li   Scalable and axiomatic ranking of
                                  network role similarity  . . . . . . . . 3:1--3:??
             Julian Mcauley and   
                  Jure Leskovec   Discovering social circles in ego
                                  networks . . . . . . . . . . . . . . . . 4:1--4:??
              Bruno Abrahao and   
        Sucheta Soundarajan and   
              John Hopcroft and   
               Robert Kleinberg   A separability framework for analyzing
                                  community structure  . . . . . . . . . . 5:1--5:??
               Erheng Zhong and   
                    Wei Fan and   
                     Qiang Yang   User behavior learning and transfer in
                                  composite social networks  . . . . . . . 6:1--6:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 8, Number 2, June, 2014

           Nesreen K. Ahmed and   
           Jennifer Neville and   
                Ramana Kompella   Network Sampling: From Static to
                                  Streaming Graphs . . . . . . . . . . . . 7:1--7:??
                    Yong Ge and   
               Guofei Jiang and   
                   Min Ding and   
                      Hui Xiong   Ranking Metric Anomaly in Invariant
                                  Networks . . . . . . . . . . . . . . . . 8:1--8:??
             Gensheng Zhang and   
                 Xiao Jiang and   
                   Ping Luo and   
                   Min Wang and   
                    Chengkai Li   Discovering General Prominent Streaks in
                                  Sequence Data  . . . . . . . . . . . . . 9:1--9:??
        Claudio Schifanella and   
    K. Selçuk Candan and   
             Maria Luisa Sapino   Multiresolution Tensor Decompositions
                                  with Mode Hierarchies  . . . . . . . . . 10:1--10:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 8, Number 3, June, 2014

                  Jin Huang and   
                Feiping Nie and   
                 Heng Huang and   
                     Chris Ding   Robust Manifold Nonnegative Matrix
                                  Factorization  . . . . . . . . . . . . . 11:1--11:??
                   Yu Zhang and   
                  Dit-Yan Yeung   A Regularization Approach to Learning
                                  Task Relationships in Multitask Learning 12:1--12:??
                   Ming Lin and   
               Shifeng Weng and   
                Changshui Zhang   On the Sample Complexity of Random
                                  Fourier Features for Online Learning:
                                  How Many Random Fourier Features Do We
                                  Need?  . . . . . . . . . . . . . . . . . 13:1--13:??
                   Ron Eyal and   
              Avi Rosenfeld and   
                 Sigal Sina and   
                    Sarit Kraus   Predicting and Identifying Missing Node
                                  Information in Social Networks . . . . . 14:1--14:??
           Geoffrey I. Webb and   
                 Jilles Vreeken   Efficient Discovery of the Most
                                  Interesting Associations . . . . . . . . 15:1--15:??
               Asaf Shabtai and   
            Maya Bercovitch and   
                Lior Rokach and   
                  Yuval Elovici   Optimizing Data Misuse Detection . . . . 16:1--16:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 8, Number 4, August, 2014

José Hernández-Orallo   Probabilistic Reframing for
                                  Cost-Sensitive Regression  . . . . . . . 17:1--17:??
            Pauli Miettinen and   
                 Jilles Vreeken   MDL4BMF: Minimum Description Length for
                                  Boolean Matrix Factorization . . . . . . 18:1--18:??
               Jiliang Tang and   
                       Huan Liu   Feature Selection for Social Media Data  19:1--19:??
            Matteo Riondato and   
                      Eli Upfal   Efficient Discovery of Association Rules
                                  and Frequent Itemsets through Sampling
                                  with Tight Performance Guarantees  . . . 20:1--20:??
            Scott H. Burton and   
   Christophe G. Giraud-Carrier   Discovering Social Circles in Directed
                                  Graphs . . . . . . . . . . . . . . . . . 21:1--21:??
               Saurabh Paul and   
         Christos Boutsidis and   
        Malik Magdon-Ismail and   
                 Petros Drineas   Random Projections for Linear Support
                                  Vector Machines  . . . . . . . . . . . . 22:1--22:??
        Dóra Erd\Hos and   
             Rainer Gemulla and   
                 Evimaria Terzi   Reconstructing Graphs from Neighborhood
                                  Data . . . . . . . . . . . . . . . . . . 23:1--23:??


ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 9, Number 1, August, 2014

               Ayan Acharya and   
        Eduardo R. Hruschka and   
              Joydeep Ghosh and   
              Sreangsu Acharyya   An Optimization Framework for Combining
                                  Ensembles of Classifiers and Clusterers
                                  with Applications to Nontransductive
                                  Semisupervised Learning and Transfer
                                  Learning . . . . . . . . . . . . . . . . 1:1--1:??
      Arnold P. Boedihardjo and   
              Chang-Tien Lu and   
                 Bingsheng Wang   A Framework for Exploiting Local
                                  Information to Enhance Density
                                  Estimation of Data Streams . . . . . . . 2:1--2:??
             Carlos Ordonez and   
     Carlos Garcia-Alvarado and   
Veerabhadaran Baladandayuthapani   Bayesian Variable Selection in Linear
                                  Regression in One Pass for Large
                                  Datasets . . . . . . . . . . . . . . . . 3:1--3:??
              Hongliang Fei and   
                       Jun Huan   Structured Sparse Boosting for Graph
                                  Classification . . . . . . . . . . . . . 4:1--4:??
                Zhiqiang Xu and   
                  Yiping Ke and   
                    Yi Wang and   
                 Hong Cheng and   
                    James Cheng   GBAGC: a General Bayesian Framework for
                                  Attributed Graph Clustering  . . . . . . 5:1--5:??
             Michele Coscia and   
            Giulio Rossetti and   
            Fosca Giannotti and   
                 Dino Pedreschi   Uncovering Hierarchical and Overlapping
                                  Communities with a Local-First Approach  6:1--6:??
              Guangtao Wang and   
                Qinbao Song and   
              Xueying Zhang and   
                  Kaiyuan Zhang   A Generic Multilabel Learning-Based
                                  Classification Algorithm Recommendation
                                  Method . . . . . . . . . . . . . . . . . 7:1--7:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 9, Number 2, September, 2014

               Pinghui Wang and   
             John C. S. Lui and   
              Bruno Ribeiro and   
                Don Towsley and   
               Junzhou Zhao and   
                  Xiaohong Guan   Efficiently Estimating Motif Statistics
                                  of Large Networks  . . . . . . . . . . . 8:1--8:??
                   Li Zheng and   
                     Tao Li and   
                     Chris Ding   A Framework for Hierarchical Ensemble
                                  Clustering . . . . . . . . . . . . . . . 9:1--9:??
               Baoxing Huai and   
                Enhong Chen and   
                Hengshu Zhu and   
                  Hui Xiong and   
                Tengfei Bao and   
                     Qi Liu and   
                     Jilei Tian   Toward Personalized Context Recognition
                                  for Mobile Users: a Semisupervised
                                  Bayesian HMM Approach  . . . . . . . . . 10:1--10:??
                 Siyuan Liu and   
                   Lei Chen and   
                   Lionel M. Ni   Anomaly Detection from Incomplete Data   11:1--11:??
            Pritam Gundecha and   
           Geoffrey Barbier and   
               Jiliang Tang and   
                       Huan Liu   User Vulnerability and Its Reduction on
                                  a Social Networking Site . . . . . . . . 12:1--12:??
                  Lian Duan and   
             W. Nick Street and   
                 Yanchi Liu and   
                 Songhua Xu and   
                       Brook Wu   Selecting the Right Correlation Measure
                                  for Binary Data  . . . . . . . . . . . . 13:1--13:??
                  Hao Huang and   
                   Hong Qin and   
                Shinjae Yoo and   
                     Dantong Yu   Physics-Based Anomaly Detection Defined
                                  on Manifold Space  . . . . . . . . . . . 14:1--14:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 9, Number 3, April, 2015

           Aristides Gionis and   
                        Hang Li   Introduction to the Special Issue ACM
                                  SIGKDD 2013  . . . . . . . . . . . . . . 15:1--15:??
                 Madhav Jha and   
               C. Seshadhri and   
                      Ali Pinar   A Space-Efficient Streaming Algorithm
                                  for Estimating Transitivity and Triangle
                                  Counts Using the Birthday Paradox  . . . 15:1--15:??
                 Lu-An Tang and   
                    Xiao Yu and   
                Quanquan Gu and   
                 Jiawei Han and   
               Guofei Jiang and   
                Alice Leung and   
                Thomas La Porta   A Framework of Mining Trajectories from
                                  Untrustworthy Data in Cyber-Physical
                                  System . . . . . . . . . . . . . . . . . 16:1--16:??
                 Zheng Wang and   
                     Jieping Ye   Querying Discriminative and
                                  Representative Samples for Batch Mode
                                  Active Learning  . . . . . . . . . . . . 17:1--17:??
            Siddharth Gopal and   
                    Yiming Yang   Hierarchical Bayesian Inference and
                                  Recursive Regularization for Large-Scale
                                  Classification . . . . . . . . . . . . . 18:1--18:??
                Hongzhi Yin and   
                    Bin Cui and   
                  Ling Chen and   
                 Zhiting Hu and   
                  Chengqi Zhang   Modeling Location-Based User Rating
                                  Profiles for Personalized Recommendation 19:1--19:??
                   Juhua Hu and   
              De-Chuan Zhan and   
                  Xintao Wu and   
                 Yuan Jiang and   
                   Zhi-Hua Zhou   Pairwised Specific Distance Learning
                                  from Physical Linkages . . . . . . . . . 20:1--20:??
        Sucheta Soundarajan and   
               John E. Hopcroft   Use of Local Group Information to
                                  Identify Communities in Networks . . . . 21:1--21:??
               Pinghui Wang and   
               Junzhou Zhao and   
             John C. S. Lui and   
                Don Towsley and   
                  Xiaohong Guan   Unbiased Characterization of Node Pairs
                                  over Large Graphs  . . . . . . . . . . . 22:1--22:??
            Michail Vlachos and   
         Johannes Schneider and   
       Vassilios G. Vassiliadis   On Data Publishing with Clustering
                                  Preservation . . . . . . . . . . . . . . 23:1--23:??
    Pedro O. S. Vaz De Melo and   
         Christos Faloutsos and   
Renato Assunção and   
              Rodrigo Alves and   
         Antonio A. F. Loureiro   Universal and Distinct Properties of
                                  Communication Dynamics: How to Generate
                                  Realistic Inter-event Times  . . . . . . 24:1--24:??
                 Jing Zhang and   
                   Jie Tang and   
                  Juanzi Li and   
                   Yang Liu and   
                  Chunxiao Xing   Who Influenced You? Predicting Retweet
                                  via Social Influence Locality  . . . . . 25:1--25:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 9, Number 4, June, 2015

                   Hong Xie and   
                 John C. S. Lui   Mathematical Modeling and Analysis of
                                  Product Rating with Partial Information  26:1--26:??
               Andrea Esuli and   
            Fabrizio Sebastiani   Optimizing Text Quantifiers for
                                  Multivariate Loss Functions  . . . . . . 27:1--27:??
              Bing-Rong Lin and   
                   Daniel Kifer   Information Measures in Statistical
                                  Privacy and Data Processing Applications 28:1--28:??
                  Hao Huang and   
                Shinjae Yoo and   
                 Dantong Yu and   
                       Hong Qin   Density-Aware Clustering Based on
                                  Aggregated Heat Kernel and Its
                                  Transformation . . . . . . . . . . . . . 29:1--29:??
                     Kui Yu and   
                   Wei Ding and   
            Dan A. Simovici and   
                   Hao Wang and   
                   Jian Pei and   
                     Xindong Wu   Classification with Streaming Features:
                                  an Emerging-Pattern Mining Approach  . . 30:1--30:??
                 Guimei Liu and   
               Haojun Zhang and   
              Mengling Feng and   
               Limsoon Wong and   
                   See-Kiong Ng   Supporting Exploratory Hypothesis
                                  Testing and Analysis . . . . . . . . . . 31:1--31:??
            Gianluigi Greco and   
            Antonella Guzzo and   
            Francesco Lupia and   
                 Luigi Pontieri   Process Discovery under Precedence
                                  Constraints  . . . . . . . . . . . . . . 32:1--32:??
             Nima Mirbakhsh and   
                Charles X. Ling   Improving Top-$N$ Recommendation for
                                  Cold-Start Users via Cross-Domain
                                  Information  . . . . . . . . . . . . . . 33:1--33:??
           Francesco Bonchi and   
           Aristides Gionis and   
            Francesco Gullo and   
 Charalampos E. Tsourakakis and   
                  Antti Ukkonen   Chromatic Correlation Clustering . . . . 34:1--34:??


ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 10, Number 1, July, 2015

                   Hua Wang and   
                Feiping Nie and   
                     Heng Huang   Large-Scale Cross-Language Web Page
                                  Classification via Dual Knowledge
                                  Transfer Using Fast Nonnegative Matrix
                                  Trifactorization . . . . . . . . . . . . 1:1--1:??
                  Yang Zhou and   
                       Ling Liu   Social Influence Based Clustering and
                                  Optimization over Heterogeneous
                                  Information Networks . . . . . . . . . . 2:1--2:??
   Evangelos E. Papalexakis and   
         Christos Faloutsos and   
       Nicholas D. Sidiropoulos   ParCube: Sparse Parallelizable
                                  CANDECOMP--PARAFAC Tensor Decomposition  3:1--3:??
               Rezwan Ahmed and   
                 George Karypis   Algorithms for Mining the Coevolving
                                  Relational Motifs in Dynamic Networks    4:1--4:??
  Ricardo J. G. B. Campello and   
             Davoud Moulavi and   
               Arthur Zimek and   
               Jörg Sander   Hierarchical Density Estimates for Data
                                  Clustering, Visualization, and Outlier
                                  Detection  . . . . . . . . . . . . . . . 5:1--5:??
            Giacomo Berardi and   
               Andrea Esuli and   
            Fabrizio Sebastiani   Utility-Theoretic Ranking for
                                  Semiautomated Text Classification  . . . 6:1--6:??
                  Zhiwen Yu and   
                   Zhu Wang and   
                  Huilei He and   
                 Jilei Tian and   
                Xinjiang Lu and   
                        Bin Guo   Discovering Information Propagation
                                  Patterns in Microblogging Services . . . 7:1--7:??
             Xianchao Zhang and   
             Xiaotong Zhang and   
                        Han Liu   Smart Multitask Bregman Clustering and
                                  Multitask Kernel Clustering  . . . . . . 8:1--8:??
                    Wei Wei and   
             Kathleen M. Carley   Measuring Temporal Patterns in Dynamic
                                  Social Networks  . . . . . . . . . . . . 9:1--9:??
                 Siyuan Liu and   
                   Qiang Qu and   
                    Shuhui Wang   Rationality Analytics from Trajectories  10:1--10:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 10, Number 2, October, 2015

               Adele Lu Jia and   
                  Siqi Shen and   
      Ruud Van De Bovenkamp and   
            Alexandru Iosup and   
           Fernando Kuipers and   
               Dick H. J. Epema   Socializing by Gaming: Revealing Social
                                  Relationships in Multiplayer Online
                                  Games  . . . . . . . . . . . . . . . . . 11:1--11:??
                Manos Papagelis   Refining Social Graph Connectivity via
                                  Shortcut Edge Addition . . . . . . . . . 12:1--12:??
                 Liang Hong and   
                    Lei Zou and   
                 Cheng Zeng and   
               Luming Zhang and   
                  Jian Wang and   
                     Jilei Tian   Context-Aware Recommendation Using
                                  Role-Based Trust Network . . . . . . . . 13:1--13:??
                  Lei Zhang and   
                   Ping Luo and   
               Linpeng Tang and   
                Enhong Chen and   
                     Qi Liu and   
                   Min Wang and   
                      Hui Xiong   Occupancy-Based Frequent Pattern Mining  14:1--14:??
            Hung-Hsuan Chen and   
                   C. Lee Giles   ASCOS++: an Asymmetric Similarity
                                  Measure for Weighted Networks to Address
                                  the Problem of SimRank . . . . . . . . . 15:1--15:??
              Reza Zafarani and   
                   Lei Tang and   
                       Huan Liu   User Identification Across Social Media  16:1--16:??
                     Lei Li and   
                   Wei Peng and   
            Saurabh Kataria and   
                   Tong Sun and   
                         Tao Li   Recommending Users and Communities in
                                  Social Media . . . . . . . . . . . . . . 17:1--17:??
                    Rose Yu and   
                  Xinran He and   
                        Yan Liu   GLAD: Group Anomaly Detection in Social
                                  Media Analysis . . . . . . . . . . . . . 18:1--18:??
         Aniket Chakrabarti and   
              Venu Satuluri and   
          Atreya Srivathsan and   
       Srinivasan Parthasarathy   A Bayesian Perspective on Locality
                                  Sensitive Hashing with Extensions for
                                  Kernel Methods . . . . . . . . . . . . . 19:1--19:??
                  Yao Zhang and   
              B. Aditya Prakash   Data-Aware Vaccine Allocation Over Large
                                  Networks . . . . . . . . . . . . . . . . 20:1--20:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 10, Number 3, February, 2016

                   Matthew Rowe   Mining User Development Signals for
                                  Online Community Churner Detection . . . 21:1--21:??
    Arnau Prat-Pérez and   
        David Dominguez-Sal and   
            Josep-M. Brunat and   
        Josep-Lluis Larriba-Pey   Put Three and Three Together:
                                  Triangle-Driven Community Detection  . . 22:1--22:??
                   Zhen Guo and   
      Zhongfei (Mark) Zhang and   
               Eric P. Xing and   
             Christos Faloutsos   Multimodal Data Mining in a Multimedia
                                  Database Based on Structured Max Margin
                                  Learning . . . . . . . . . . . . . . . . 23:1--23:??
              Risa B. Myers and   
         John C. Frenzel MD and   
          Joseph R. Ruiz Md and   
        Christopher M. Jermaine   Do Anesthesiologists Know What They Are
                                  Doing? Mining a Surgical Time-Series
                                  Database to Correlate Expert Assessment
                                  with Outcomes  . . . . . . . . . . . . . 24:1--24:??
        Galileo Mark Namata and   
                 Ben London and   
                    Lise Getoor   Collective Graph Identification  . . . . 25:1--25:??
            Karthik Subbian and   
             Charu Aggarwal and   
             Jaideep Srivastava   Mining Influencers Using Information
                                  Flows in Social Streams  . . . . . . . . 26:1--26:??
          Fabrizio Angiulli and   
                 Fabio Fassetti   Toward Generalizing the Unification with
                                  Statistical Outliers: The Gradient
                                  Outlier Factor Measure . . . . . . . . . 27:1--27:??
               Danai Koutra and   
                  Neil Shah and   
       Joshua T. Vogelstein and   
            Brian Gallagher and   
             Christos Faloutsos   DeltaCon: Principled Massive-Graph
                                  Similarity Function with Attribution . . 28:1--28:??
             Wayne Xin Zhao and   
               Jinpeng Wang and   
                   Yulan He and   
                Ji-Rong Wen and   
            Edward Y. Chang and   
                    Xiaoming Li   Mining Product Adopter Information from
                                  Online Reviews for Improving Product
                                  Recommendation . . . . . . . . . . . . . 29:1--29:??
         João Duarte and   
           João Gama and   
                   Albert Bifet   Adaptive Model Rules From High-Speed
                                  Data Streams . . . . . . . . . . . . . . 30:1--30:??
                  Faming Lu and   
              Qingtian Zeng and   
                       Hua Duan   Synchronization-Core-Based Discovery of
                                  Processes with Decomposable Cyclic
                                  Dependencies . . . . . . . . . . . . . . 31:1--31:??
                  Yashu Liu and   
                   Jie Wang and   
                     Jieping Ye   An Efficient Algorithm For Weak
                                  Hierarchical Lasso . . . . . . . . . . . 32:1--32:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 10, Number 4, July, 2016

                   Wei Wang and   
                  Jure Leskovec   Introduction to the Special Issue of
                                  Best Papers in ACM SIGKDD 2014 . . . . . 33:1--33:??
                   Silei Xu and   
                 John C. S. Lui   Product Selection Problem: Improve
                                  Market Share by Learning Consumer
                                  Behavior . . . . . . . . . . . . . . . . 34:1--34:??
                 Meng Jiang and   
                   Peng Cui and   
                Alex Beutel and   
         Christos Faloutsos and   
                  Shiqiang Yang   Catching Synchronized Behaviors in Large
                                  Networks: a Graph Mining Approach  . . . 35:1--35:??
                   Ying Wei and   
               Yangqiu Song and   
                    Yi Zhen and   
                     Bo Liu and   
                     Qiang Yang   Heterogeneous Translated Hashing: a
                                  Scalable Solution Towards Multi-Modal
                                  Similarity Search  . . . . . . . . . . . 36:1--36:??
              Hanghang Tong and   
                   Fei Wang and   
        Munmun De Choudhury and   
                Zoran Obradovic   Guest Editorial: Special Issue on
                                  Connected Health at Big Data Era
                                  (BigChat): a TKDD Special Issue  . . . . 37:1--37:??
                Feiyu Xiong and   
                  Moshe Kam and   
             Leonid Hrebien and   
                Beilun Wang and   
                      Yanjun Qi   Kernelized Information-Theoretic Metric
                                  Learning for Cancer Diagnosis Using
                                  High-Dimensional Molecular Profiling
                                  Data . . . . . . . . . . . . . . . . . . 38:1--38:??
                   Pei Yang and   
               Hongxia Yang and   
                   Haoda Fu and   
                 Dawei Zhou and   
                 Jieping Ye and   
           Theodoros Lappas and   
                     Jingrui He   Jointly Modeling Label and Feature
                                  Heterogeneity in Medical Informatics . . 39:1--39:??
                   Yubao WU and   
               Xiaofeng Zhu and   
                      Li Li and   
                    Wei Fan and   
                Ruoming Jin and   
                    Xiang Zhang   Mining Dual Networks: Models,
                                  Algorithms, and Applications . . . . . . 40:1--40:??
                 Licong Cui and   
               Shiqiang Tao and   
                Guo-Qiang Zhang   Biomedical Ontology Quality Assurance
                                  Using a Big Data Approach  . . . . . . . 41:1--41:??
             Shebuti Rayana and   
                   Leman Akoglu   Less is More: Building Selective Anomaly
                                  Ensembles  . . . . . . . . . . . . . . . 42:1--42:??
                   Yada Zhu and   
                     Jingrui He   Co-Clustering Structural Temporal Data
                                  with Applications to Semiconductor
                                  Manufacturing  . . . . . . . . . . . . . 43:1--43:??
              Maryam Tahani and   
        Ali M. A. Hemmatyar and   
            Hamid R. Rabiee and   
                Maryam Ramezani   Inferring Dynamic Diffusion Networks in
                                  Online Media . . . . . . . . . . . . . . 44:1--44:??
               Yun Sing Koh and   
                Sri Devi Ravana   Unsupervised Rare Pattern Mining: a
                                  Survey . . . . . . . . . . . . . . . . . 45:1--45:??
                  Wei Cheng and   
                Zhishan Guo and   
                Xiang Zhang and   
                       Wei Wang   CGC: a Flexible and Robust Approach to
                                  Integrating Co-Regularized Multi-Domain
                                  Graph for Clustering . . . . . . . . . . 46:1--46:??
               Chih-Ya Shen and   
               De-Nian Yang and   
             Wang-Chien Lee and   
                 Ming-Syan Chen   Spatial-Proximity Optimization for Rapid
                                  Task Group Deployment  . . . . . . . . . 47:1--47:??
                  Zhiwen Yu and   
                Zhitao Wang and   
                Liming Chen and   
                    Bin Guo and   
                      Wenjie Li   Featuring, Detecting, and Visualizing
                                  Human Sentiment in Chinese Micro-Blog    48:1--48:??
                  Chen Chen and   
              Hanghang Tong and   
          B. Aditya Prakash and   
           Tina Eliassi-Rad and   
         Michalis Faloutsos and   
             Christos Faloutsos   Eigen-Optimization on Large Graphs by
                                  Edge Manipulation  . . . . . . . . . . . 49:1--49:??


ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 11, Number 1, August, 2016

                  Zhiwen Yu and   
                  Miao Tian and   
                   Zhu Wang and   
                    Bin Guo and   
                        Tao Mei   Shop-Type Recommendation Leveraging the
                                  Data from Social Media and
                                  Location-Based Services  . . . . . . . . 1:1--1:??
           Luke K. McDowell and   
                   David W. Aha   Leveraging Neighbor Attributes for
                                  Classification in Sparsely Labeled
                                  Networks . . . . . . . . . . . . . . . . 2:1--2:??
              Xiaojun Chang and   
                Feiping Nie and   
                    Yi Yang and   
              Chengqi Zhang and   
                     Heng Huang   Convex Sparse PCA for Unsupervised
                                  Feature Learning . . . . . . . . . . . . 3:1--3:??
                      Ou Wu and   
                  Qiang You and   
                    Fen Xia and   
                     Lei Ma and   
                     Weiming Hu   Listwise Learning to Rank from Crowds    4:1--4:??
               Junming Shao and   
                 Qinli Yang and   
              Hoang-Vu Dang and   
             Bertil Schmidt and   
                  Stefan Kramer   Scalable Clustering by Iterative
                                  Partitioning and Point Attractor
                                  Representation . . . . . . . . . . . . . 5:1--5:??
             Josif Grabocka and   
          Nicolas Schilling and   
            Lars Schmidt-Thieme   Latent Time-Series Motifs  . . . . . . . 6:1--6:??
             Xianchao Zhang and   
                Linlin Zong and   
               Quanzeng You and   
                      Xing Yong   Sampling for Nyström Extension-Based
                                  Spectral Clustering: Incremental
                                  Perspective and Novel Analysis . . . . . 7:1--7:??
               Maoying Qiao and   
           Richard Yi Da Xu and   
                   Wei Bian and   
                    Dacheng Tao   Fast Sampling for Time-Varying
                                  Determinantal Point Processes  . . . . . 8:1--8:??
        Pierluigi Crescenzi and   
       Gianlorenzo D'angelo and   
           Lorenzo Severini and   
                    Yllka Velaj   Greedily Improving Our Own Closeness
                                  Centrality in a Network  . . . . . . . . 9:1--9:??
                   Xiang Li and   
            Charles X. Ling and   
                   Huaimin Wang   The Convergence Behavior of Naive Bayes
                                  on Large Sparse Datasets . . . . . . . . 10:1--10:??
                  Yanjie Fu and   
                  Hui Xiong and   
                    Yong Ge and   
                   Yu Zheng and   
                  Zijun Yao and   
                   Zhi-Hua Zhou   Modeling of Geographic Dependencies for
                                  Real Estate Ranking  . . . . . . . . . . 11:1--11:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 11, Number 2, December, 2016

               Zekai J. Gao and   
                 Chris Jermaine   Distributed Algorithms for Computing
                                  Very Large Thresholded Covariance
                                  Matrices . . . . . . . . . . . . . . . . 12:1--12:??
             Chenguang Wang and   
               Yangqiu Song and   
                   Dan Roth and   
                 Ming Zhang and   
                     Jiawei Han   World Knowledge as Indirect Supervision
                                  for Document Clustering  . . . . . . . . 13:1--13:??
         Tanmoy Chakraborty and   
          Sriram Srinivasan and   
              Niloy Ganguly and   
          Animesh Mukherjee and   
              Sanjukta Bhowmick   Permanence and Community Structure in
                                  Complex Networks . . . . . . . . . . . . 14:1--14:??
             Laura M. Smith and   
                Linhong Zhu and   
            Kristina Lerman and   
                Allon G. Percus   Partitioning Networks with Node
                                  Attributes by Compressing Information
                                  Flow . . . . . . . . . . . . . . . . . . 15:1--15:??
                     Kui Yu and   
                 Xindong Wu and   
                   Wei Ding and   
                       Jian Pei   Scalable and Accurate Online Feature
                                  Selection for Big Data . . . . . . . . . 16:1--16:??
                    Bin Liu and   
                     Yao Wu and   
        Neil Zhenqiang Gong and   
                  Junjie Wu and   
                  Hui Xiong and   
                   Martin Ester   Structural Analysis of User Choices for
                                  Mobile App Recommendation  . . . . . . . 17:1--17:??
                Foto Afrati and   
               Shlomi Dolev and   
             Ephraim Korach and   
            Shantanu Sharma and   
              Jeffrey D. Ullman   Assignment Problems of Different-Sized
                                  Inputs in MapReduce  . . . . . . . . . . 18:1--18:??
             Zhongyuan Wang and   
                  Fang Wang and   
                Haixun Wang and   
                  Zhirui Hu and   
                    Jun Yan and   
                 Fangtao Li and   
                Ji-Rong Wen and   
                     Zhoujun Li   Unsupervised Head-Modifier Detection in
                                  Search Queries . . . . . . . . . . . . . 19:1--19:??
                   Yi Chang and   
              Makoto Yamada and   
             Antonio Ortega and   
                        Yan Liu   Lifecycle Modeling for Buzz Temporal
                                  Pattern Discovery  . . . . . . . . . . . 20:1--20:??
                  Qiang Wei and   
                Dandan Qiao and   
                  Jin Zhang and   
               Guoqing Chen and   
                     Xunhua Guo   A Novel Bipartite Graph Based
                                  Competitiveness Degree Analysis from
                                  Query Logs . . . . . . . . . . . . . . . 21:1--21:??
                 Yuanli Pei and   
             Xiaoli Z. Fern and   
        Teresa Vania Tjahja and   
           Rómer Rosales   Comparing Clustering with Pairwise and
                                  Relative Constraints: a Unified
                                  Framework  . . . . . . . . . . . . . . . 22:1--22:??
          Carlos Lorenzetti and   
              Ana Maguitman and   
                David Leake and   
            Filippo Menczer and   
             Thomas Reichherzer   Mining for Topics to Suggest Knowledge
                                  Model Extensions . . . . . . . . . . . . 23:1--23:??
              Dheeraj Kumar and   
            James C. Bezdek and   
     Sutharshan Rajasegarar and   
      Marimuthu Palaniswami and   
         Christopher Leckie and   
               Jeffrey Chan and   
             Jayavardhana Gubbi   Adaptive Cluster Tendency Visualization
                                  and Anomaly Detection for Streaming Data 24:1--24:??
               Wen-Yuan Zhu and   
              Wen-Chih Peng and   
              Ling-Jyh Chen and   
                  Kai Zheng and   
                  Xiaofang Zhou   Exploiting Viral Marketing for Location
                                  Promotion in Location-Based Social
                                  Networks . . . . . . . . . . . . . . . . 25:1--25:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 11, Number 3, April, 2017

  Ahmet Erdem Sariyüce and   
                 Kamer Kaya and   
                 Erik Saule and   
Ümit V. Çatalyürek   Graph Manipulations for Fast Centrality
                                  Computation  . . . . . . . . . . . . . . 26:1--26:??
         Polina Rozenshtein and   
              Nikolaj Tatti and   
               Aristides Gionis   Finding Dynamic Dense Subgraphs  . . . . 27:1--27:??
                Guannan Liu and   
                  Yanjie Fu and   
               Guoqing Chen and   
                  Hui Xiong and   
                       Can Chen   Modeling Buying Motives for Personalized
                                  Product Bundle Recommendation  . . . . . 28:1--28:??
                   Ting Guo and   
                     Jia Wu and   
               Xingquan Zhu and   
                  Chengqi Zhang   Combining Structured Node Content and
                                  Topology Information for Networked Graph
                                  Clustering . . . . . . . . . . . . . . . 29:1--29:??
                     Qi Liu and   
                 Biao Xiang and   
         Nicholas Jing Yuan and   
                Enhong Chen and   
                  Hui Xiong and   
                   Yi Zheng and   
                        Yu Yang   An Influence Propagation View of
                                  PageRank . . . . . . . . . . . . . . . . 30:1--30:??
                   Sen Wang and   
                     Xue Li and   
             Xiaojun Chang* and   
                   Lina Yao and   
              Quan Z. Sheng and   
                   Guodong Long   Learning Multiple Diagnosis Codes for
                                  ICU Patients with Local Disease
                                  Correlation Mining . . . . . . . . . . . 31:1--31:??
              Seung-Hee Bae and   
            Daniel Halperin and   
              Jevin D. West and   
             Martin Rosvall and   
                      Bill Howe   Scalable and Efficient Flow-Based
                                  Community Detection for Large-Scale
                                  Graph Analysis . . . . . . . . . . . . . 32:1--32:??
                 Chong Peng and   
                  Zhao Kang and   
                 Yunhong Hu and   
                  Jie Cheng and   
                    Qiang Cheng   Robust Graph Regularized Nonnegative
                                  Matrix Factorization for Clustering  . . 33:1--33:??
                   Xun Tang and   
          Maha Alabduljalil and   
                    Xin Jin and   
                       Tao Yang   Partitioned Similarity Search with
                                  Cache-Conscious Data Traversal . . . . . 34:1--34:??
              Shanshan Feng and   
                   Jian Cao and   
                   Jie Wang and   
                    Shiyou Qian   Recommendations Based on Comprehensively
                                  Exploiting the Latent Factors Hidden in
                                  Items' Ratings and Content . . . . . . . 35:1--35:??
                 Xutong Liu and   
                  Feng Chen and   
               Yen-Cheng Lu and   
                  Chang-Tien Lu   Spatial Prediction for Multivariate
                                  Non-Gaussian Data  . . . . . . . . . . . 36:1--36:??
                 Liang Wang and   
                  Zhiwen Yu and   
                    Bin Guo and   
                     Tao Ku and   
                         Fei Yi   Moving Destination Prediction Using
                                  Sparse Dataset: a Mobility Gradient
                                  Descent Approach . . . . . . . . . . . . 37:1--37:??
         Kimon Fountoulakis and   
              Abhisek Kundu and   
  Eugenia-Maria Kontopoulou and   
                 Petros Drineas   A Randomized Rounding Algorithm for
                                  Sparse PCA . . . . . . . . . . . . . . . 38:1--38:??

ACM Transactions on Knowledge Discovery from Data (TKDD)
Volume 11, Number 4, August, 2017

              Charu C. Aggarwal   Introduction to Special Issue on the
                                  Best Papers from KDD 2016  . . . . . . . 39:1--39:??
                  Wei Cheng and   
                Jingchao Ni and   
                  Kai Zhang and   
               Haifeng Chen and   
               Guofei Jiang and   
                     Yu Shi and   
                Xiang Zhang and   
                       Wei Wang   Ranking Causal Anomalies for System
                                  Fault Diagnosis via Temporal and
                                  Dynamical Analysis on Vanishing
                                  Correlations . . . . . . . . . . . . . . 40:1--40:??
             Tianyang Zhang and   
                   Peng Cui and   
         Christos Faloutsos and   
                  Yunfei Lu and   
                     Hao Ye and   
                  Wenwu Zhu and   
                  Shiqiang Yang   comeNgo: a Dynamic Model for Social
                                  Group Evolution  . . . . . . . . . . . . 41:1--41:??
                  Chen Chen and   
              Hanghang Tong and   
                    Lei Xie and   
                   Lei Ying and   
                        Qing He   Cross-Dependency Inference in
                                  Multi-Layered Networks: a Collaborative
                                  Filtering Perspective  . . . . . . . . . 42:1--42:??
         Lorenzo De Stefani and   
          Alessandro Epasto and   
            Matteo Riondato and   
                      Eli Upfal   TRI\`EST: Counting Local and Global
                                  Triangles in Fully Dynamic Streams with
                                  Fixed Memory Size  . . . . . . . . . . . 43:1--43:??
                 Bryan Hooi and   
                Kijung Shin and   
               Hyun Ah Song and   
                Alex Beutel and   
                  Neil Shah and   
             Christos Faloutsos   Graph-Based Fraud Detection in the Face
                                  of Camouflage  . . . . . . . . . . . . . 44:1--44:??
            Ashton Anderson and   
              Jon Kleinberg and   
           Sendhil Mullainathan   Assessing Human Error Against a
                                  Benchmark of Perfection  . . . . . . . . 45:1--45:??
                 Yihan Wang and   
                Shaoxu Song and   
                   Lei Chen and   
              Jeffrey Xu Yu and   
                     Hong Cheng   Discovering Conditional Matching Rules   46:1--46:??
   Christos Anagnostopoulos and   
            Peter Triantafillou   Query-Driven Learning for Predictive
                                  Analytics of Data Subspace Cardinality   47:1--47:??
                     Yue Wu and   
           Steven C. H. Hoi and   
                    Tao Mei and   
                     Nenghai Yu   Large-Scale Online Feature Selection for
                                  Ultra-High Dimensional Sparse Data . . . 48:1--48:??
         Alceu Ferraz Costa and   
             Yuto Yamaguchi and   
   Agma Juci Machado Traina and   
         Caetano Traina Jr. and   
             Christos Faloutsos   Modeling Temporal Activity to Detect
                                  Anomalous Behavior in Social Media . . . 49:1--49:??
           Soroush Vosoughi and   
   Mostafa `Neo' Mohsenvand and   
                        Deb Roy   Rumor Gauge: Predicting the Veracity of
                                  Rumors on Twitter  . . . . . . . . . . . 50:1--50:??
           Oualid Boutemine and   
              Mohamed Bouguessa   Mining Community Structures in
                                  Multidimensional Networks  . . . . . . . 51:1--51:??
             Essam Algizawy and   
              Tetsuji Ogawa and   
                 Ahmed El-Mahdy   Real-Time Large-Scale Map Matching Using
                                  Mobile Phone Data  . . . . . . . . . . . 52:1--52:??