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The paper combines and extends the technologies of fuzzy sets and association rules, considering users' differential emphasis on each attribute through fuzzy regions. A fuzzy data mining algorithm is proposed to discovery fuzzy association rules for weighted quantitative data. This is expected to be more realistic and practical than crisp association rules. Discovered rules are expressed in natural...
Association rules method is important in mining large sets of data, but there are often many meaningless rules discovered, which affects the algorithm's efficiency, moreover, the presentation of rules is not easy for users to understand. User guide often works during association rules mining procedure. This paper presents a user-guided association rules mining method, considering users' differential...
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