ACM Transactions on Knowledge Discovery from Data, Volume 3

Volume 3, Number 1, March 2009

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

Volume 3, Number 2, April 2009

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

Volume 3, Number 3, July 2009

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