Date: Jul 8, 2010
acm Transactions on Knowledge Discovery from Data is a young, prestige journal in the field of Knowledge Discovery and Data Mining.
We welcome strong submissions of research and survey articles on various themes in the field.
The tables of contents of the published Vol. 3 (2009), the published issues and the planned issues of Vol. 4 (2010), and the planned first issue of Vol. 5 (2011) of the journal are listed below.
Jiawei Han, Editor-in-Chief, ACM Trans. on KDD
ACM Transactions on Knowledge Discovery from Data
Vol. 3, Issue 1.
Hans-Peter Kriegel, Peer Kroeger, and Arthur Zimek (Ludwig-Maximilians-Universitat Munchen, Germany)
Clustering High Dimensional Data: A Survey on Subspace Clustering, Pattern-based Clustering, and Correlation Clustering
Editor: Philip S. Yu
Amit Dhurandhar and Alin Dobra (Univ. of Florida)
Semi-analytical Method for Analyzing Models and Model Selection Measures based on Moment Analysis
Editor: Wei-Yin Loh
Loic Cerf (INSA-Lyon, France), Jeremy Besson (Institute of Mathematics and Informatics, Lithuania), Celine Robardet and Jean-Francois Boulicaut (INSA-Lyon, France)
Closed Patterns Meet n-ary Relations
Editor: Mohammed J. Zaki
Fabrizio Angiulli and Fabio Fassetti (Universit�a della Calabria, Italy)
DOLPHIN: an Efficient Algorithm for Mining Distance-Based Outliers in Very Large Datasets
Editor: Sunita Sarawagi
Bee-Chung Chen (Yahoo! Research), Raghu Ramakrishnan (Yahoo! Research), Jude W. Shavlik (Univ. of Wisconsin - Madison), and Pradeep Tamma (Univ. of Wisconsin - Madison)
Bellwether Analysis: Searching for Cost-Effective Query-Defined Predictors in Large Databases
Editor: Sunita Sarawagi
Vol. 3, Issue 2 SPECIAL ISSUE on Social Computing, Behavioral Modeling, and Prediction
Huan Liu, John Salerno, Michael Young, Rakesh Agrawal, Philip S. Yu
Introduction to special issue on social computing, behavioral modeling, and prediction
Andrew Mehler and Steven Skiena (Stony Brook Univ.)
Expanding Network Communities from Representative Examples
Yu-Ru Lin (Arizona State Univ.), Yun Chi (NEC Labs America), Shenghuo Zhu (NEC Labs America), Hari Sundaram (Arizona State Univ.), Belle L. Tseng (YAHOO!)
Analyzing communities and their evolutions in dynamic social networks
Masahiro Kimura (Ryukoku Univ.), Kazumi Saito (Univ. of Shizuoka), Hiroshi Motoda (Osaka Univ.)
Blocking links to minimize contamination spread in a social network
Eugene Agichtein (Emory Univ.), Yandong Liu (Emory Univ.), Jiang Bian (Gerogia Inst. of Tech.)
Modeling information-seeker satisfaction in community question answering
Vol. 3, Issue 3.
Vetle I. Torvik and Neil R. Smalheiser (Univ. of Illinois at Chicago)
Author Name Disambiguation in MEDLINE
Editor: Wei Wang
Li Tu (Nanjing Univ. of Aeronautics and Astronautics, China) and Yixin Chen (Washington Univ. in St. Louis)
Stream Data Clustering Based on Grid Density and Attraction
Editor: Philip S. Yu
BIN ZHOU and JIAN PEI (Simon Fraser Univ., Canada)
Link Spam Detection Using Page Farms
Editor: Gregory Piatetsky-Shapiro
Li Wan (Nanyang Tech.l Univ.), Wee Keong Ng (Nanyang Tech. Univ.), Xuan Hong Dang (Inst. of Infocomm Research, Singapore), Philip S. Yu (Univ. of Illinois at Chicago) and Kuan Zhang (Singapore Management Univ.)
Density-Based Clustering of Data Streams at Multiple Resolutions
Editor: Rajeev Motwani
Vol. 3, Issue 4 (Special Issue for KDD'07 and KDD'08)
Heikki Mannila and Dimitrios Gunopulos
ACM TKDD special issue ACM SIGKDD 2007 and ACM SIGKDD 2008
TKDD SPECIAL ISSUE for KDD'07
Sitaram Asur, Srinivasan Parthasarathy, and Duygu Ucar (Ohio State Univ.)
An Event-based Framework for Characterizing the Evolutionary Behavior of Interaction Graphs
Editor: Heikki Mannila
Yun Chi, Song, Xiaodan; Zhou, Dengyong; Hino, Koji; Tseng, Belle
On Evolutionary Spectral Clustering
Editor: Heikki Mannila
TKDD Special Issue for KDD08
Yasuhiro Fujiwara (NTT Cyber Space Labs and Univ. of Tokyo), Yasushi Sakurai (NTT Communication Science Labs) and Masaru Kitsuregawa (Univ. of Tokyo)
Fast Likelihood Search for Hidden Markov Models
Editor: Dimitrios Gunopulos
Xiang Zhang, Fei Zou, and Wei Wang (Univ. of North Carolina at Chapel Hill)
Efficient Algorithms for Genome-Wide Association Study
Editor: Dimitrios Gunopulos
Mustafa Bilgic and Lise Getoor (Univ. of Maryland at College Park)
Reflect and Correct: A Misclassification Prediction Approach to Active Inference (accepted 8/24/09)
Editor: Dimitrios Gunopulos
Jerry Kiernan (IBM Silicon Valley Lab) and Evimaria Terzi (IBM Almaden Research Center)
Constructing comprehensive summaries of large event sequences
Editor: Dimitrios Gunopulos
Vol 4. Issue 1
Yehuda Koren (AT&T Labs�Research)
Factor in the neighbors: Scalable and accurate collaborative filtering
Editor: Kristin Bennett
Zeeshan Syed, Collin Stultz, Manolis Kellis, Piotr Indyk, and John Guttag (Massachusetts Inst. Technology)
Motif Discovery in Physiological Datasets: A Methodology for Inferring Predictive Elements
Editor: Wei Wang
Geoffrey I. Webb (Monash Univ., Australia)
Self-Sufficient Itemsets: An Approach to Screening Potentially Interesting Associations Between Items
Editor: Philip S. Yu
Marc Plantevit (Univ. Montpellier, France), Anne Laurent (Univ. Montpellier, France), Dominique Laurent (Univ. Cergy Pontoise, France), Maguelonne Teisseire (Univ. Montpellier, France) and Yeow WEI Choong (Univ. College - Kuala Lumpur, Malaysia)
Mining Multidimensional and Multiple-Level Sequential Patterns
Editor: M. Zaki
Mohammed J. Zaki, Christopher D. Carothers, and Boleslaw K. Szymanski (Rensselaer Polytechnic Inst.)
VOGUE: A Variable Order Hidden Markov Model with Duration based on Frequent Sequence Mining
Editor: Johannes Gehrke
Vol 4. Issue 2
SUNIL VADERA (Univ. of Salford, UK)
CSNL: A Cost-Sensitive Non-Linear Decision Tree Algorithm
Editor: David Jensen
Vasileios Kandylas, S. Phineas Upham, and Lyle H. Ungar (Univ. of Pennsylvania)
Analyzing knowledge communities using foreground and background clusters
Editor: Gregory Piatetsky-Shapiro
Shuiwang Ji, Lei Tang (Arizona State Univ.), Shipeng Yu (Siemens Medical Solutions), and Jieping Ye (Arizona State Univ.)
A Shared-subspace Learning Framework for Multi-label Classification
Editor: Anil Jain
Salvatore Ruggieri, Dino Pedreschi, Franco Turini (Universit�a di Pisa, Italy)
Data Mining for Discrimination Discovery
Editor: Dimitrios Gunopulos
Vol 4. Issue 3
Lini T Thomas, Satyanarayana R Valluri, Kamalakar Karlapalem (International Institute of Information Technology, Gachibowli, Hyderabad, INDIA)
MARGIN: Maximal Frequent Subgraph Mining
Editor: Wei Wang
Meghana Deodhar and Joydeep Ghosh (University of Texas at Austin)
SCOAL: A Framework for Simultaneous Co-clustering and Learning from Complex Data
Editor: Geoff Webb
Jinlin Chen and Keli Xiao (Queens College, City Univ. of New York)
BISC: a Bitmap Itemset Support Counting Approach for Efficient Frequent Itemset Mining
Editor: Mohammed J. Zaki
LUCA BECCHETTI ("Sapienza" Universita di Roma, Italy), PAOLO BOLDI (Universita degli Studi di Milano, Italy),
CARLOS CASTILLO (Yahoo! Research, Barcelona Spain), and ARISTIDES GIONIS (Yahoo! Research, Barcelona Spain)
Efficient Algorithms for Large-Scale Local Triangle Counting
Editor: Kristin Bennett
YIN ZHANG and ZHI-HUA ZHOU (Nanjing University, China)
Multi-Label Dimensionality Reduction via Dependence Maximization
Editor: Anil Jain
Ying Cui (Northeastern Univ.), Xiaoli Z. Fern (Oregon State Univ.), and Jennifer G. Dy (Northeastern Univ.)
Non-Redundant Multi-View Clustering
Editor: Anil Jain
Vol. 4 Issue 4 KDD'09 Special Issue
Special issue editor: Wei Wang
Ye Chen (Microsoft), Dmitry Pavlov (Yandex Labs) and John F. Canny (Univ. of California, Berkeley)
Behavioral Targeting: The Art of Scaling Up Simple Algorithms
Noman Mohammed (Concordia Univ., Canada), Benjamin C. M. Fung (Concordia Univ., Canada), Patrick C. K. Hung (Univ. of Ontario Institute of Technology., Canada) and Cheuk-Kwong Lee (Hong Kong Red Cross Blood Transfusion Service, Hong Kong)
Centralized and Distributed Anonymization for High-dimensional Healthcare Data
Chao Liu (Microsoft Research), Fan Guo (Carnegie Mellon Univ.) and Christos Faloutsos (Carnegie Mellon Univ.)
Bayesian Browsing Model: Exact Inference of Document Relevance from Petabyte-Scale Data
Mingxi Wu (Oracle Corp.), Chris Jermaine (Rice Univ.), Sanjay Ranka (Univ. of Florida), Xiuyao Song (Yahoo!), and John Gums (Univ. of Florida)
A Model-Agnostic Framework for Fast Spatial Anomaly Detection
Vol 5. Issue 1
Kun Liu (Yahoo! Labs) and Evimaria Terzi (Boston Univ.)
A Framework for Computing the Privacy Scores of Users in Online Social Networks
Editor: Philip S. Yu
Yasushi Sakurai (NTT Communication Science Labs), Christos Faloutsos (Carnegie Mellon Univ.) and Spiros Papadimitriou (IBM T.J. Watson Research Center)
Fast Discovery of Group Lag Correlations in Streams
Editor: Hans-Peter Kriegel
Special Issue on Knowledge Discovery and Web Intelligence
Special issue editor: Ning Zhong, et al.
Jie Tang (Tsinghua Univ.), Limin Yao (Univ. of Massachusetts Amherst), Duo Zhang (Univ. of Illinois at Urbana-Champaign) and Jing Zhang (Tsinghua Univ.)
A Combination Approach to Web User Profiling
Mohamed Bouguessa and Shengrui Wang (Univ. of Sherbrooke) and Benoit Dumoulin (Yahoo! Inc.)
Discovering Knowledge-Sharing Communities in Question-Answering Forums
Anon Plangprasopchok and Kristina Lerman (ISI, Univ. of Southern California)
Modeling Social Annotation: A Bayesian Approach