A coevolutionary algorithm for rules discovery in data mining

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A coevolutionary algorithm for rules discovery in data mining

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Fuzzy rule-based classification system (FRBCS) is a popular machine learning technique for classification purposes. One of the major issues when applying it on imbalanced data sets is its biased to the majority class, such that, it performs poorly in respect to the minority class. However many cases the minority classes are more important than the majority ones. In this paper, we have extended ...

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ژورنال

عنوان ژورنال: International Journal of Systems Science

سال: 2006

ISSN: 0020-7721,1464-5319

DOI: 10.1080/00207720600879641