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TitleDocumental clustering algorithm based on fuzzy concept graph and its application in Web
Creator
Date Issued2002
Source PublicationRuan Jian Xue Bao/Journal of Software
ISSN1000-9825
Volume13Issue:8Pages:1598-1605
AbstractWith 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.
KeywordCustomized search Documental clustering Fuzzy concept graph Interest pattern
URLView source
Language英语English
Scopus ID2-s2.0-0036700699
Citation statistics
Document TypeJournal article
Identifierhttp://repository.uic.edu.cn/handle/39GCC9TT/9402
CollectionResearch outside affiliated institution
Corresponding AuthorChen,Ning
Affiliation
Sch. of Info. Sci. and Eng.,Chinese Acad. of Sci.,Beijing 100039,China
Recommended Citation
GB/T 7714
Chen,Ning,Chen,An,Zhou,Long Xianget al. Documental clustering algorithm based on fuzzy concept graph and its application in Web[J]. Ruan Jian Xue Bao/Journal of Software, 2002, 13(8): 1598-1605.
APA Chen,Ning, Chen,An, Zhou,Long Xiang, Jia,Wei Jia, & Luo,San Ding. (2002). Documental clustering algorithm based on fuzzy concept graph and its application in Web. Ruan Jian Xue Bao/Journal of Software, 13(8), 1598-1605.
MLA Chen,Ning,et al."Documental clustering algorithm based on fuzzy concept graph and its application in Web". Ruan Jian Xue Bao/Journal of Software 13.8(2002): 1598-1605.
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