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ACM Transactions on Knowledge Discovery from Data, Volume 6
Volume 6, Number 1, March 2012
- Dino Ienco
, Ruggero G. Pensa
From Context to Distance: Learning Dissimilarity for Categorical Data Clustering. 1:1-1:25 - Chun Li, Qingyan Yang, Jianyong Wang, Ming Li:
Efficient Mining of Gap-Constrained Subsequences and Its Various Applications. 2:1-2:39 - Fei Tony Liu, Kai Ming Ting, Zhi-Hua Zhou:
Isolation-Based Anomaly Detection. 3:1-3:39 - Yu Jin, Nick G. Duffield
A Modular Machine Learning System for Flow-Level Traffic Classification in Large Networks. 4:1-4:34
Volume 6, Number 2, July 2012
- Dimitrios Mavroeidis, Panagis Magdalinos:
A Sequential Sampling Framework for Spectral k-Means Based on Efficient Bootstrap Accuracy Estimations: Application to Distributed Clustering. 5:1-5:37 - Sanmay Das, Malik Magdon-Ismail:
A Model for Information Growth in Collective Wisdom Processes. 6:1-6:10 - Tianbing Xu, Zhongfei Zhang, Philip S. Yu, Bo Long:
Generative Models for Evolutionary Clustering. 7:1-7:27 - Shaojun Wang, Dale Schuurmans, Yunxin Zhao:
The Latent Maximum Entropy Principle. 8:1-8:42 - Indrajit Bhattacharya, Shantanu Godbole, Sachindra Joshi, Ashish Verma:
Cross-Guided Clustering: Transfer of Relevant Supervision across Tasks. 9:1-9:28
Volume 6, Number 3, October 2012
- Zhenxing Wang, Laiwan Chan:
Learning bayesian networks from Markov random fields: An efficient algorithm for linear models. 10:1-10:31 - Jeffrey Chan
ciForager: Incrementally discovering regions of correlated change in evolving graphs. 11:1-11:50 - Dingding Wang, Shenghuo Zhu, Tao Li, Yihong Gong:
Comparative document summarization via discriminative sentence selection. 12:1-12:18 - Pedro O. S. Vaz de Melo
Forecasting in the NBA and other team sports: Network effects in action. 13:1-13:27
Volume 6, Number 4, December 2012
- Joydeep Ghosh, Padhraic Smyth, Andrew Tomkins, Rich Caruana:
Special issue on best of SIGKDD 2011. 14:1-14:2 - Shachar Kaufman, Saharon Rosset, Claudia Perlich, Ori Stitelman:
Leakage in data mining: Formulation, detection, and avoidance. 15:1-15:21 - Michael Mampaey, Jilles Vreeken
Summarizing data succinctly with the most informative itemsets. 16:1-16:42 - Shumo Chu, James Cheng:
Triangle listing in massive networks. 17:1-17:32 - Rita Chattopadhyay, Qian Sun, Wei Fan, Ian Davidson, Sethuraman Panchanathan, Jieping Ye:
Multisource domain adaptation and its application to early detection of fatigue. 18:1-18:26 - Leland Wilkinson, Anushka Anand, Dang Tuan Nhon
Substantial improvements in the set-covering projection classifier CHIRP (composite hypercubes on iterated random projections). 19:1-19:18
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