关键词:  , 数据挖掘, 模糊关联规则, SOFM网络, 隶属度函数

Abstract: Firstly, a method of determining the membership function of sample data based on the self-organizing feature maps network(SOFM) was presented. Based on this method, according to the concept of similarity, with the calculating formula of similarity degree and the Apriori algorithm, a new algorithm of mining fuzzy similar association rules was proposed. Compared with existing similar algorithms, the new algorithm overcomes the defect of determining membership functions subjectively, especially when the data structure is more complex it is very difficult. Meanwhile, this algorithm reduces the redundant rules mined.

Key words: data mining, fuzzy association rule, SOFM network, membership function