Classification rule extraction approach based on homogeneous training samples
نویسندگان
چکیده
This paper presents an efficient and accurate classifier construction method based on extracting class wise rules from homogeneous training data samples. Finally, rule ranking mechanism employs measure of the Intensity of Implication over traditional confidence measure.
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