Volume 6, Number 1, March 2012

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

Volume 6, Number 2, July 2012

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

Volume 6, Number 3, October 2012

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

Volume 6, Number 4, December 2012

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

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