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19
Skyline Drive IBM
T.J.Watson Research Hawthorne,
NY 10532 Tel:
914-784-7027 Email:
weifan AT us DOT ibm DOT com My Research Interests: Machine Learning, Data Mining, Data Base, and Security Selected Publications: 1999 W Fan, S Stolfo and J Zhang, "The Application of
AdaBoost for Distributed, Scalable and On-line Learning", ACM
International Conference on on Knoledge Discovery and Data Mining (SIGKDD1999) W Fan, S Stolfo and J. Zhang, "AdaCost:
cost-sensitive boosting". International Coference on Machine Learning
(ICDML'99) P Chan, W. Fan, A Prodromidis, and S Stolfo.
"Distributed Data Mining for Credit Card Fraud Detection", IEEE
Intelligent System Journal Nov/Dec 1999, pp67-74. W Cohen and W Fan, "Learning Page Independent
Heuristics for Extracting Data from the Web", The Eighth
International World Wide Web Conference (WWW'8) 2000 W Cohen and W Fan. "Web-Collaborative
Filtering: Recommending Music by Spidering The Web", Nineth
International World Wide Web Conference (WWW'9) W. Fan, W. Lee, S. Stolfo and M. Miller. "A Multiple Model Cost-Sensitive
Approach for Intrusion Detection", The Eleventh European Conference
on Machine Learning (ECML00). S Stolfo, W Fan, W Lee, A Prodromidis, P Chan,
"Cost-based Modeling for Fraud and Intrusion Dectection: Results from
the JAM Project", DARPA Information Survivability Conference 2000 2001 W. Fan, M. Miller, S. Stolfo, W. Lee, and C. Chan,
``Using Artificial Anomalies to Detect Known and Unknown Intrusions’’, IEEE
International Conference on Data Mining Conference 2001 (ICDM’2001) S. Stolfo, W. Lee, C. Chan, W. Fan, E. Eskin, M. Miller,
``Real-time Data Mining Based Intrusion Detection’’, DARPA Information Survivability
Conference 2001 (DISEX’2001) S. Stolfo, W. Lee, C. Chan, W. Fan, E. Eskin, M.
Miller, ``Intrusion Detection:
Issues and Solutions’’, SIGMOD Record Dec 2001 W. Lee, and W. Fan, ``Data Mning Based Intrusion
Detection”, SIGMOD Record
Dec 2001 2002 W. Fan, H. Wang, and P. Yu, ``A Framework for Scalable Cost-sensitive Learning’’, SIAM
International Conference on Data Mining 2002 (SDM’2002) W. Fan, and S. Stolfo, ``Ensemble-based Adaptive
Intrusion Detection”, SIAM International Conference on Data Mining
2002 (SDM’2002) W. Fan, H. Wang, and P. Yu , ``A Distributed Framework
for Cost-sensitive learning’’, IEEE International Conference on Distributed Computer Systems 2002
(ICDCS’2002) W. Fan, F. Chu, H. Wang, and P. Yu, ``Pruning and Dynamic
Scheduling Cost-sensitive Ensemble”, National Conference on Artificial
Intelligence 2002 (AAAI’2002) W. Fan, H. Wang, P. Yu, and L. Lo, `` Progressive
Modeling”, IEEE International Conference on Data Mining Conference 2002
(ICDM 2002) W. Lee, W. Fan, M. Miller, S. Stolfo, and E. Zadok ,``Cost-Sensitive Modeling
for Intrusion Detection and Response", Journal of Computer Security, Vol.
10, Numbers 1,2, 2002 N. Abe, B. Zadrozny, E. Pednault, H. Wang, W. Fan, and C
Apte, `` Empirical Comparison of Various Reinforcement Learning Strategies”, IEEE
International Conference on
Distributed Computer Systems 2002 (ICDCS’2002) N. Abe, B. Zadrozny, E. Pednault, H. Wang, W. Fan, and C
Apte, `` Sequential Cost-sensitive Decision Making with Reinforcement Learning’,
ACM International Conference on Knowledge Discovery and Data Mining 2002
(SIGKDD’2002) N. Wang, W. Fan and P. Yu, ``An Index Structure for
Similarity Searching in Microarray Data", IEEE International Conference on Bioinformatics (CSB2002) 2003 Y. Huang, W. Fan, W. Lee, and P. Yu, ``Detecting Ad hoc
Network Anomalies Using Cross-Feature Analysis’’, accepted at IEEE
International Conference on
Distributed Computer Systems 2003 (ICDCS’2003) H.Wang, W. Fan, P.Yu, ``Indexing Weighted Sequeneces in Large Databases.", IEEE
International Conference on Data Engineering Conference 2003 (ICDE 2003) W. Fan, H. Wang, P.Yu, ``Inductive Learning in less thn One Sequential
Scan.", Joint International Conference on Aritifical Intellgience 2003
(IJCAI 2003) H.Wang, W. Fan, P.Yu, ``ViST: A dynamic indexing method for querying XML data by
tree structures.", SIGMOD 2003 H.Wang, W. Fan, P.Yu, J Han, ``Mining Concept-Drifting Data Streams using
Ensemble Classifiers", SIGKDD 2003 2004 W Fan, P Yu, and H Wang, "Mining Extremely Skewd Trading Anomalies", EDBT
2004 W Fan, Y Huang, H Wang, and P Yu, "Active Mining of Data
Streams", SDM'04 H Wang, W Fan, and C Fang, "A Fast Algorithm for
Subspace Clustering by Pattern Similarity", SSDM 2004 W Fan,
"On the Optimality of Probability Estimation by Random Decision
Trees", AAAI 2004 W Fan
"Systematic Data Selection to Mine Concept-Drifting Data
Streams", SIGKDD 2004 W Fan
"StreamMiner: A Classifier Ensemble-based Engine to Mine Concept
Drifting Data Streams", VLDB'2004
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