CHINESE TEXT CATEGORIZATION BASED ON FUZZY ASSOCIATION RULES

摘要：

With the rapid evolution of Internet and the broad application of computer technology, the number of electronic texts increases quickly. Classifying these texts effectively becomes more and more important. This paper proposes a novel approach for automatic Chinese text categorization. By introducing fuzzy sets concept, it improves the existing categorization approaches based on association rules. The mined fuzzy association rules are used as a classifier to classify Chinese texts. Experimental results show that the new approach is feasible and the categorization effectiveness is enhanced.

关键词： Association rules fuzzy sets Chinese text categorization

作者: FANG YUAN YU-QIN GUO LIU YANG FAN YANG

作者单位: College of Mathematics and Computer Science, Hebei University, Baoding 071002, China

会议类型: 国际会议

会议名称: 2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

会议地点: 大连

会议语种:英文

页码: 1030-1035

在线出版日期: 2006-08-13（万方平台首次上网日期，不代表论文的发表时间）