Integrated Genetic-Fuzzy Approach for Mining Quantitative Association Rules
نویسندگان
چکیده
Data mining of association rules from items in transaction databases has been studied extensively in recent years. However these algorithms deal with only transactions with binary values whereas transactions with quantitative values are more commonly seen in real-world applications. As to fuzzy data mining, many approaches have also been proposed for mining fuzzy association rules. Most of the previous approaches, however, set a single minimum
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