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《Journal of Jiangxi Normal University (Natural Sciences Edition)》 2005-01
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Association Rules Mining Strategy Based on Fuzzy Set and Rough Set

WAN Hong-xin~1,PENG Yun~2,NIE Cheng-qi~2 (1.Department of Mathematics and Computer, Jiangxi Science & Technology Teachers' College, Nanchang 330013,China; 2.College of Computer Information Engineering ,Jiangxi Normal University ,Nanchang 330027,China)  
In this paper, a novel association rules mining strategy based on fuzzy set and rough set has been presented. Fuzzy clustering is the first phase, we make use of fuzzy analogue method to realize clustering. Through the clustering, the noise data can be eliminated to a certain extent, which can improve the correctness of result-rules. The second phase is rule-mining ,owing to the attributes reduction, the redundant attributes can be omitted, and the association rules can be educed in the key attributes set.
【Fund】： 江西省自然科学基金资助项目(0011013).
【CateGory Index】： TP311
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