摘要
阐述了在远程教育的研究和应用中,利用基于关联规则的多层次、超图分割聚类方法,对Web网页和用户进行有效聚类。该方法借助网站层次图,可以根据实际需要,在各个层次上进行聚类分析,仅将高度相关的网页和用户聚在同一类,而将关联性较小的网页排除在聚类外。
A clustering method of Web pages and users based on association rules and hypergraph partitioning were presented. Clustering can be done on multi-levels according to the specific needs with the help of the hierarchy diagrams of Web sites. The Web pages and users that are highly related are clustered together, excluding those that are not closely related.
出处
《唐山师范学院学报》
2007年第5期86-88,共3页
Journal of Tangshan Normal University
基金
湖北省教育厅科学研究项目(B200525004)
襄樊学院资助项目(JY0532)
关键词
聚类挖掘
远程教育
关联规则
超图
Clustering Mining
Distance Education
Association Rule
Hypergraph Partitioning
