引用次数
引用: 16,989
H-指数: 49
I10-指数 : 76
出版物: 153
Learning with Non-uniform Class and Cost Distributions: E ects and a Multi-classi er Approach
PHILIP K CHAN , SALVATORE J STOLFO
Machine Learning 1 27 -27
Identifying outliers via clustering for anomaly detection
Philip K. Chan , Muhammad H. Arshad
19
2003
Boundary detection in tokenizing network application payload for anomaly detection
Philip K. Chan , Rachna Vargiya
29
2003
PHAD: packet header anomaly detection for identifying hostile network traffic
Philip K. Chan , Matthew V. Mahoney
303
2001
IMPLICIT INDICATORS FOR INTERESTING WEB PAGES
Philip K. Chan , Hyoung-rae Kim
international conference on web information systems and technologies 270 -277
14
2005
Tracking User Mobility to Detect Suspicious Behavior.
Gaurav Tandon , Philip K. Chan
siam international conference on data mining 871 -882
7
2009
A Machine Learning Approach to Anomaly Detection
Philip K. Chan , Muhammad H. Arshad , Matthew V. Mahoney
114
2003
Detecting novel attacks by identifying anomalous network packet headers
Philip K. Chan , Matthew V. Mahoney
54
2001
Toward parallel and distributed learning by meta-learning
Salvatore J. Stolfo , Philip K. Chan
AAAIWS'93 Proceedings of the 2nd International Conference on Knowledge Discovery in Databases 227 -240
260
1993
Machine Learning for IT Security.
Philip K. Chan
Encyclopedia of Machine Learning 637 -639
1
2010
Machine Learning in Molecular Biology Sequence Analysis
Philip K. Chan
Department of Computer Science, Columbia University
5
1991
AdaCost: Misclassification Cost-Sensitive Boosting
Salvatore J. Stolfo , Philip K. Chan , Junxin Zhang , Wei Fan
international conference on machine learning 97 -105
942
1999
Motif-oriented representation of sequences for a host-based intrusion detection system
Gaurav Tandon , Debasis Mitra , Philip K. Chan
industrial and engineering applications of artificial intelligence and expert systems 605 -615
2
2004
Machine Learning for Computer Security
Philip K. Chan , Richard P. Lippmann
Journal of Machine Learning Research 7 ( 96) 2669 -2672
29
2006
Toward Scalable and Parallel Inductive Learning: A Case Study in Splice Junction Prediction
Salvatore Stolfo , Philip K. Chan
Department of Computer Science, Columbia University
4
1994
Detecting anomalies by weighted rules
Gaurav Tandon , Philip K. Chan
2007
Personalized ranking of search results with implicitly learned user interest hierarchies
Philip K. Chan , Hyoung-Rae Kim
2
2005
Improving learning implicit user interest hierarchy with variable length phrases
Philip K. Chan , Hyoung-Rae Kim
2003
A protocol language approach to generating client-server software
Philip K. Chan , Melvin A.L. Douglas
1
2000
Trajectory boundary modeling of time series for anomaly detection
Philip K. Chan , Matthew V. Mahoney
23
2005