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Lightweight Rule Induction

Lightweight Rule Induction (LRI): A tool that learns and uses decision rules to find patterns and classify data.


Date Posted: July 13, 2001
Overview

Lightweight Rule Induction has retired.


About the technology author(s):

Sholom M. Weiss is a research staff member at IBM's T.J. Watson Lab. Before joining IBM, he was a professor of computer science at Rutgers University. He has written and co-written many papers on artificial intelligence and machine learning, including a book entitled Predictive Data Mining: A Practical Guide (Morgan Kaufmann, 1997); in addition, he is a fellow of the American Association for Artificial Intelligence and serves on numerous editorial boards. His current research interests emphasize innovative methods of data mining. Please see http://www.research.ibm.com/dar/ for further information, including a published paper on Lightweight Rule Induction.

Dr. Weiss can be reached at sholom@us.ibm.com or at IBM, T.J. Watson Research Center, P.O. Box 218, Yorktown Heights, NY 10598.


Related technologies

For platform(s):
AIX, Windows NT, Windows 95, Windows 98, Solaris, Unix

For topics:
mining, analysis


 

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