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.
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