Biographical sketches of authors

Chidanand V. Apte   IBM Research Division, Thomas J. Watson Research Center, P.O. Box 218, Yorktown Heights, New York 10598 (electronic mail: apte@us.ibm.com). Dr. Apte manages the Data Abstraction Research group at the IBM T. J. Watson Research Center. He received his Ph.D. degree in computer science from Rutgers University in 1984. His research interests include knowledge discovery and data mining, applied machine learning and statistical modeling, and business intelligence automation.

Ramesh Natarajan   IBM Research Division, Thomas J. Watson Research Center, P.O. Box 218, Yorktown Heights, New York 10598 (electronic mail: nramesh@us.ibm.com). Dr. Natarajan is a research staff member in the Data Abstraction Research group at the IBM T. J. Watson Research Center. He received his Ph.D. degree in chemical engineering from the University of Texas at Austin in 1984. He is currently working on statistical data mining applications, modeling algorithms for massive data sets, and database analytic extenders.

Edwin P. D. Pednault   IBM Research Division, Thomas J. Watson Research Center, P.O. Box 218, Yorktown Heights, New York 10598 (electronic mail: pednault@us.ibm.com). Dr. Pednault is a research staff member in the Data Abstraction Research group at the IBM T. J. Watson Research Center. He received his Ph.D. degree in 1987 at Stanford University, working with Robert C. Moore at SRI International on the mathematical foundations of automatic planning. His current research interests include data mining, statistical learning theory, and reinforcement learning.

Fateh Tipu   IBM Research Division, Thomas J. Watson Research Center, P.O. Box 218, Yorktown Heights, New York 10598 (electronic mail: fateh@watson.ibm.com). Mr. Tipu is an advisory software engineer in the Data Abstraction Research group at the IBM T. J. Watson Research Center. He received his M.S. degree in electrical engineering from the University of Wisconsin-Madison in 1991. His technical interests include software development, data mining, and computer-aided design (CAD) tools for logic design.