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Note: Links lead to the DBLP on the Web. Philip K. Chan 19 Hyoung R. Kim , Philip K. Chan: Learning implicit user interest hierarchy for context in personalization. Intelligent User Interfaces 2003 : 101-108 18 Matthew V. Mahoney , Philip K. Chan: Learning nonstationary models of normal network traffic for detecting novel attacks. KDD 2002 : 376-385 17 Wei Fan , Matthew Miller , Salvatore J. Stolfo , Wenke Lee , Philip K. Chan: Using Artificial Anomalies to Detect Unknown and Known Network Intrusions. ICDM 2001 : 123-130 16 Salvatore J. Stolfo , Wenke Lee , Philip K. Chan, Wei Fan , Eleazar Eskin : Data Mining-based Intrusion Detectors: An Overview of the Columbia IDS Project. SIGMOD Record 30 (4): 5-14 (2001) 15 Wei Fan , Salvatore J. Stolfo , Junxin Zhang , Philip K. Chan: AdaCost: Misclassification Cost-Sensitive Boosting. ICML 1999 : 97-105 14 Philip K. Chan: Constructing Web User Profiles: A non-invasive Learning Approach. WEBKDD 1999 : 39-55 13 Philip K. Chan, Salvatore J. Stolfo , David Wolpert : Guest Editors' Introduction. Machine Learning 36 (1-2): 5-7 (1999) 12 Philip K. Chan, Salvatore J. Stolfo : Toward Scalable Learning with Non-Uniform Class and Cost Distributions: A Case Study in Credit Card Fraud Detection. KDD 1998 : 164-168 11 Salvatore J. Stolfo , Andreas L. Prodromidis , Shelley Tselepis , Wenke Lee , Dave W. Fan , Philip K. Chan: JAM: Java Agents for Meta-Learning over Distributed Databases. KDD 1997 : 74-81 10 Philip K. Chan, Salvatore J. Stolfo : On the Accuracy of Meta-Learning for Scalable Data Mining. JIIS 8 (1): 5-28 (1997) 9 Philip K. Chan, Salvatore J. Stolfo : Sharing Learned Models among Remote Database Partitions by Local Meta-Learning. KDD 1996 : 2-7 8 Philip K. Chan, Salvatore J. Stolfo : A Comparative Evaluation of Voting and Meta-learning on Partitioned Data. ICML 1995 : 90-98 7 Philip K. Chan, Salvatore J. Stolfo : Learning Arbiter and Combiner Trees from Partitioned Data for Scaling Machine Learning. KDD 1995 : 39-44 6 Philip K. Chan, Salvatore J. Stolfo : Experiments on Multi-Strategy Learning by Meta-Learning. CIKM 1993 : 314-323 5 Philip K. Chan, Salvatore J. Stolfo : Toward Multi-Strategy Parallel & Distributed Learning in Sequence Analysis. ISMB 1993 : 65-73 4 Christopher J. Matheus , Philip K. Chan, Gregory Piatetsky-Shapiro : Systems for Knowledge Discovery in Databases. TKDE 5 (6): 903-913 (1993) 3 Salvatore J. Stolfo , Ouri Wolfson , Philip K. Chan, Hasanat M. Dewan , Leland Woodbury , Jason S. Glazier , David Ohsie : PARULE: Parallel Rule Processing Using Meta-rules for Redaction. Journal of Parallel and Distributed Computing 13 (4): 366-382 (1991) 2 Douglas H. Fisher , Philip K. Chan: Statistical guidance in symbolic learning. Annals of Mathematics and Artificial Intelligence 2 : 135-147 (1990) 1 Philip K. Chan: Inductive Learning with BCT. ML 1989 : 104-108  DiSC'03 © 2003 Association for Computing Machinery |
