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Volume 41, Number 3, 2002
Artificial Intelligence
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Discovering actionable patterns in event data - Author bios

by J. L. Hellerstein, S. Ma, and C.-S. Perng

Biographical sketches of authors

Joseph L. Hellerstein   IBM Research Division, Thomas J. Watson Research Center, P.O. Box 704, Yorktown Heights, New York 10598 (electronic mail: hellers@us.ibm.com). Dr. Hellerstein manages the Systems Management Research Department with projects such as event mining, event prediction, intelligent probing, automated diagnosis, and generic adaptive control. He received his Ph.D. degree in computer science from the University of California at Los Angeles in 1984. He has taught at Columbia University and has published approximately 70 papers.

Sheng Ma   IBM Research Division, Thomas J. Watson Research Center, P.O. Box 704, Yorktown Heights, New York 10598 (electronic mail: shengma@us.ibm.com). Dr. Ma received his B.S. degree in electrical engineering from Tsinghua University, China, in 1992. He received M.S. and Ph.D. (with honors) degrees in electrical engineering from Rensselaer Polytechnic Institute in 1995 and 1998, respectively. He joined the T. J. Watson Research Center as a research staff member in 1998, where he is now manager of the Machine Learning for Systems Department. His current research interests include network and computer system management, machine learning, data mining, and network traffic modeling and control.

Chang-Shing Perng   IBM Research Division, Thomas J. Watson Research Center, P.O. Box 704, Yorktown Heights, New York 10598 (electronic mail: perng@us.ibm.com). Dr. Perng is a member of the Systems Management Research Department, working on event mining, system profiling, and anomaly detection. He received his Ph.D. degree in computer science from the University of California at Los Angeles in 2000. His current research interests include data mining, time series data, and applying human knowledge in knowledge discovery and data mining.