• 
  Pascal Soucy, Guy W. Mineau:
  A Simple KNN Algorithm for Text Categorization. ICDM 2001: 647-648
• 
  Sam Steingold, Richard Wherry, Gregory Piatetsky-Shapiro:
  Measuring Real-Time Predictive Models. ICDM 2001: 649-650
• 
  Aixin Sun, Ee-Peng Lim:
  Hierarchical Text Classification and Evaluation. ICDM 2001: 521-528
• 
  Fengzhan Tian, Hongwei Zhang, Yuchang Lu, Chunyi Shi:
  Incremental Learning of Bayesian Networks with Hidden Variables. ICDM 2001: 651-652
• 
  Fan-Chen Tseng, Ching-Chi Hsu, Henry Chen:
  Mining Frequent Closed Itemsets with the Frequent Pattern List. ICDM 2001: 653-654
• 
  François Velin, Pascale Kuntz, Henri Briand:
  Web Cartography for Online State Promotion: An Algorithm for Clustering Web Resources. ICDM 2001: 529-535
• 
  Xiong Wang:
  alpha-Surface and Its Application to Mining Protein Data. ICDM 2001: 659-662
• 
  Hui Wang, Ivo Düntsch, David A. Bell, Dayou Liu:
  Classification through Maximizing Density. ICDM 2001: 655-656
• 
  Ching-Yao Wang, Tzung-Pei Hong, Shian-Shyong Tseng:
  Maintenance of Sequential Patterns for Record Deletion. ICDM 2001: 536-541
• 
  Lei Wang, Licheng Jiao:
  An Immune Neural Network Used for Classification. ICDM 2001: 657-658
• 
  Haixun Wang, Philip S. Yu:
  SSDT: A Scalable Subspace-Splitting Classifier for Biased Data. ICDM 2001: 542-549
• 
  Wei Wang, Jiong Yang, Philip S. Yu:
  Meta-patterns: Revealing Hidden Periodic Patterns. ICDM 2001: 550-557
• 
  Virginia Wheway:
  Using Boosting to Simplify Classification Models. ICDM 2001: 558-565
• 
  Show-Jane Yen, Yue-Shi Lee:
  An Efficient Data Mining Technique for Discovering Interesting Sequential Patterns. ICDM 2001: 663-664
• 
  Osmar R. Zaïane, Mohammad El-Hajj, Paul Lu:
  Fast Parallel Association Rule Mining without Candidacy Generation. ICDM 2001: 665-668
• 
  Bernard Zenko, Ljupco Todorovski, Saso Dzeroski:
  A Comparison of Stacking with Meta Decision Trees to Bagging, Boosting, and Stacking with other Methods. ICDM 2001: 669-670
• 
  Du Zhang, Quoc Luan Ha, Meiliu Lu:
  Mining California Vital Statistics Data. ICDM 2001: 671-672
• 
  Ning Zhong, Y. Y. Yao, Muneaki Ohshima, Setsuo Ohsuga:
  Interestingness, Peculiarity, and Multi-Database Mining. ICDM 2001: 566-576
• 
  Qinghua Zou, Wesley W. Chu, David B. Johnson, Henry Chiu:
  A Pattern Decomposition (PD) Algorithm for Finding All Frequent Patterns in Large Datasets. ICDM 2001: 673-674
• 
  Nick Cercone, Tsau Young Lin, Xindong Wu:
  Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November - 2 December 2001, San Jose, California, USA. IEEE Computer Society 2001, ISBN 0-7695-1119-8 [contents]

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