An efficient algorithm for automatic knowledge acquisition

Authors:
D. T. Pham;S. S. Dimov
Affiliations:
Intelligent Systems Research Laboratory, Systems Engineering Division, School of Engineering, University of Wales Cardiff, P.O. Box 917, Cardiff CF2 1XH, U.K.;Intelligent Systems Research Laboratory, Systems Engineering Division, School of Engineering, University of Wales Cardiff, P.O. Box 917, Cardiff CF2 1XH, U.K.
Venue:
Pattern Recognition
Year:
1997

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Abstract

This paper presents a new algorithm for extracting IF-THEN rules from examples. The algorithm employs an efficient rule searching method and a simple metric for assessing rule generality and accuracy. The paper illustrates step by step the operation of the algorithm and discusses its performance on the IRIS data classification problem.