关键词: 数据挖掘, 支持向量机, 模糊关联规则, 分类系统, 离散化, 模糊C-均值

Abstract: To increase the classification accuracy of the database classification system, this paper proposed a new classification method. Firstly, the continuous attributes were dispersed by the Fuzzy C-Mean (FCM) algorithm. Secondly, an improved fuzzy association method was proposed to mine the classification association rules. Eventually, the compatibility between the generated rules and patterns was used to construct a set of feature vectors, which were used to generate a classifier. The experimental results demonstrate that the method has high discrimination and efficiency.

Key words: Data Mining (DM), Support Vector Machine (SVM), fuzzy association rule, classification system, discretization, Fuzzy C-Mean (FCM)