Documental clustering algorithm based on fuzzy concept graph and its application in Web

With the explosive growth of data available on World Wide Web, it seems that the current search engines cannot met 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 their own interests. The strategy is to evaluate the relevance of documents effectively based on fuzzy concept graph and user's personal interests.