Philip Chan

I'm an ex-graduate student in computer science and my research interests are in scalable, adaptive, and intelligent methods. Related areas include machine learning, multiprocessing, scientific/medical computing, and databases. Currently, I'm on the computer science faculty at Florida Institute of Technology.

Research

• P. Chan (1996). An Extensible Meta-Learning Approach for Scalable and Accurate Inductive Learning, PhD Thesis, Department of Computer Science, Columbia University, New York, NY (Technical Report CUCS-044-96). (gzip'd version)
• P. Chan and S. Stolfo (1997). On the Accuracy of Meta-learning for Scalable Data Mining, J. Intelligent Information Systems, 8:5-28.
• P. Chan and S. Stolfo (1996). Sharing Learned Models among Remote Database Partitions by Local Meta-learning, Proc. Second Intl. Conf. on Knowledge Discovery & Data Mining, p2-7.
• P. Chan and S. Stolfo (1996). Scaling Learning by Meta-Learning over Disjoint and Partially Replicated Data, Proc. Ninth Florida Artificial Intelligence Research Symposium, p151-155.
• P. Chan and S. Stolfo (1995). A Comparative Evaluation of Voting and Meta-learning on Partitioned Data, Proc. Twelfth Intl. Conf. on Machine Learning, p90-98.
• P. Chan and S. Stolfo (1995). Learning Arbiter and Combiner Trees from Partitioned Data for Scaling Machine Learning, Proc. Intl. Conf. on Knowledge Discovery and Data Mining, p39-44.
• P. Chan and S. Stolfo (1994). Toward Scalable and Parallel Learning: A Case Study in Splice Junction Prediction, ML94 Workshop on Machine Learning and Molecular Biology (Tech. Rep. CUCS-032-94, Department of Computer Science, Columbia U.).
• P. Chan and S. Stolfo (1993). Toward Parallel and Distributed Learning by Meta-learning, In Working Notes AAAI Work. Knowledge Discovery in Databases, p227-240.
• P. Chan and S. Stolfo (1993). Experiments on Multistrategy Learning by Meta-learning. In Proc. Second Intl. Conf. Info. Know. Manag., p314-323.
• S. Stolfo, O. Wolfson, P. Chan, H. Dewan, L. Woodbury, J. Glazier, and D. Ohsie (1991). PARULEL: Parallel Rule Processing Using Meta-rules for Redaction, Journal of Parallel and Distributed Computing, v13, n4, p366-382.
• P. Chan (1991). Machine Learning in Molecular Biology Sequence Analysis, Technical Report CUCS-041-91, Dept. of Computer Science, Columbia Univ., New York, NY.
• S. Stolfo, P. Chan, L. Woodbury, J. Glazier, and D. Ohsie (1991). The ALEXSYS Mortgage Pool Allocation System, In Proc. First Intl. Conf. Art. Intell. Appl. Wall Street, p79-84.

Interesting Links:

Nano Times

University WWW sites

Computing Research Association

The Ada Project (TAP) (Women in Computing)

White House

Parallel and Distributed Intelligent Systems Laboratory

Department of Computer Science

Columbia University