"Learning Rules From Examples in Rule-Based Systems Via an Integer Programming Approach"

Proceedings of the Annual Conference of the Inter'l Association of Knowledge Engineers,
University of Maryland, June 26-28, pp. 403-426, 1989.

by Triantaphyllou, E., and S.R.T. Kumara

Abstract:
An increasingly interesting issue in Rule-Based System (RBS) development is the problem of inferring rules from examples. As RBS's attempt to solve larger and more complex problems, automatic ways for determining the knowledge bases of the these systems become critical in Knowledge Engineering. The present paper proposes the use of an Integer Programming approach provides a flexible and powerful way for utilizing information that very often is difficult to handle, mainly due to the complexity of the problem.

Key Words:
Rule-Based Systems, machine learning, learning from examples, Integer Programming.


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