%0 Journal Article
%T A Documental Clustering Algorithm Based on Fuzzy Concept Graph and Its Application in Web<br>基于模糊概念图的文档聚类及其在Web中的应用
%A CHEN Ning
%A CHEN An
%A ZHOU Long-xiang
%A JIA Wei-jia
%A LUO San-ding
%A <br>陈宁
%A 陈安
%A 周龙骧
%A 贾维嘉
%A 罗三定
%J 软件学报
%D 2002
%I 
%X With the explosive growth of data available on World Wide Web, it seems that the current search engines cannot meet the increasing requirement of users. This paper focuses on improving the effectiveness and the efficiency of Web search with data mining technology. A documental clustering algorithm is presented integrated with fuzzy concept graph for mining interest patterns. Based on the above technology, an intelligent customized search system is proposed that enables users to obtain useful information according to the relation of concepts and own interests.The strategyis to evaluate the relevance of documents effectively based on fuzzy concept graph and user's personal interests.
%K fuzzy concept graph
%K documental clustering
%K interest pattern
%K customized search<br>模糊概念图
%K 文档聚类
%K 兴趣模式
%K 用户化智能搜索
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=7735F413D429542E610B3D6AC0D5EC59&aid=14DF5C8B3D3CFEBC&yid=C3ACC247184A22C1&vid=FC0714F8D2EB605D&iid=5D311CA918CA9A03&sid=1AC2995B88F4B692&eid=8A00F45CB16DF49C&journal_id=1000-9825&journal_name=软件学报&referenced_num=11&reference_num=10