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Note: Links lead to the DBLP on the Web. Philip K. Chan Gaurav Tandon , Debasis Mitra , Philip K. Chan: Motif-Oriented Representation of Sequences for a Host-Based Intrusion Detection System. IEA/AIE 2004 : 605-615 Matthew V. Mahoney , Philip K. Chan: Learning Rules for Anomaly Detection of Hostile Network Traffic. ICDM 2003 : 601-604 Hyoung R. Kim , Philip K. Chan: Learning implicit user interest hierarchy for context in personalization. Intelligent User Interfaces 2003 : 101-108 Matthew V. Mahoney , Philip K. Chan: An Analysis of the 1999 DARPA/Lincoln Laboratory Evaluation Data for Network Anomaly Detection. RAID 2003 : 220-237 Matthew V. Mahoney , Philip K. Chan: Learning nonstationary models of normal network traffic for detecting novel attacks. KDD 2002 : 376-385 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 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) Wei Fan , Salvatore J. Stolfo , Junxin Zhang , Philip K. Chan: AdaCost: Misclassification Cost-Sensitive Boosting. ICML 1999 : 97-105 Philip K. Chan: Constructing Web User Profiles: A non-invasive Learning Approach. WEBKDD 1999 : 39-55 Philip K. Chan, Salvatore J. Stolfo , David Wolpert : Guest Editors' Introduction. Machine Learning 36 (1-2): 5-7 (1999) 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 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 Philip K. Chan, Salvatore J. Stolfo : On the Accuracy of Meta-Learning for Scalable Data Mining. J. Intell. Inf. Syst. 8 (1): 5-28 (1997) Philip K. Chan, Salvatore J. Stolfo : Sharing Learned Models among Remote Database Partitions by Local Meta-Learning. KDD 1996 : 2-7 Philip K. Chan, Salvatore J. Stolfo : A Comparative Evaluation of Voting and Meta-learning on Partitioned Data. ICML 1995 : 90-98 Philip K. Chan, Salvatore J. Stolfo : Learning Arbiter and Combiner Trees from Partitioned Data for Scaling Machine Learning. KDD 1995 : 39-44 Philip K. Chan, Salvatore J. Stolfo : Experiments on Multi-Strategy Learning by Meta-Learning. CIKM 1993 : 314-323 Philip K. Chan, Salvatore J. Stolfo : Toward Multi-Strategy Parallel & Distributed Learning in Sequence Analysis. ISMB 1993 : 65-73 Christopher J. Matheus , Philip K. Chan, Gregory Piatetsky-Shapiro : Systems for Knowledge Discovery in Databases. IEEE Trans. Knowl. Data Eng. 5 (6): 903-913 (1993) 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. J. Parallel Distrib. Comput. 13 (4): 366-382 (1991) Douglas H. Fisher , Philip K. Chan: Statistical guidance in symbolic learning. Ann. Math. Artif. Intell. 2 : 135-147 (1990) Philip K. Chan: Inductive Learning with BCT. ML 1989 : 104-108 1 [ 3 ] 2 [ 16 ] 3 [ 11 ] 4 [ 15 ] [ 16 ] [ 17 ] 5 [ 2 ] 6 [ 3 ] 7 [ 20 ] 8 [ 11 ] [ 16 ] [ 17 ] 9 [ 18 ] [ 19 ] [ 21 ] 10 [ 4 ] 11 [ 17 ] 12 [ 22 ] 13 [ 3 ] 14 [ 4 ] 15 [ 11 ] 16 [ 3 ] [ 5 ] [ 6 ] [ 7 ] [ 8 ] [ 9 ] [ 10 ] [ 11 ] [ 12 ] [ 13 ] [ 15 ] [ 16 ] [ 17 ] 17 [ 22 ] 18 [ 11 ] 19 [ 3 ] 20 [ 13 ] 21 [ 3 ] 22 [ 15 ]  ©2004 Association for Computing Machinery |
