ACM Transactions on Knowledge Discovery from Data, Volume 4

Volume 4, Number 1, January 2010

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

Volume 4, Number 2, May 2010

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

Volume 4, Number 3, October 2010

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

Volume 4, Number 4, October 2010

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

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