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Volumn 5476 LNAI, Issue , 2009, Pages 147-159

An integration of fuzzy association rules and wordNet for document clustering

Author keywords

Document clustering; Frequent itemsets; Fuzzy association rule mining; Text mining; WordNet

Indexed keywords

DOCUMENT CLUSTERING; FREQUENT ITEMSETS; FUZZY ASSOCIATION RULE MINING; TEXT MINING; WORDNET;

EID: 67650705072     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-01307-2_16     Document Type: Conference Paper
Times cited : (13)

References (14)
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  • 5
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    • Fuzzy data mining for interesting generalized association rules
    • Hong, T.P., Lin, K.Y., Wang, S.L.: Fuzzy Data Mining for Interesting Generalized Association Rules. J. Fuzzy Sets and Systems 138(2), 255-269 (2003)
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    • Hong, T.P.1    Lin, K.Y.2    Wang, S.L.3
  • 7
    • 31144468507 scopus 로고    scopus 로고
    • Utilizing genetic algorithms to optimize membership functions for fuzzy weighted association rules mining
    • DOI 10.1007/s10489-006-6925-0
    • Kaya, M., Alhajj, R.: Utilizing genetic algorithms to optimize membership functions for fuzzy weighted association rule mining. Applied Intelligence 24(1), 7-15 (2006) (Pubitemid 43130237)
    • (2006) Applied Intelligence , vol.24 , Issue.1 , pp. 7-15
    • Kaya, M.1    Alhajj, R.2
  • 8
    • 9444244198 scopus 로고    scopus 로고
    • Mining the peanut gallery: Opinion extraction and semantic classification of product reviews
    • Kushal Dave, D.M.P., Lawrence, S.: Mining the Peanut Gallery: Opinion Extraction and Semantic Classification of Product Reviews. In: 12th Int'l Conf. on World Wide Web (WWW 2003), pp. 519-528 (2003)
    • (2003) 12th Int'l Conf. on World Wide Web (WWW 2003) , pp. 519-528
    • Kushal Dave, D.M.P.1    Lawrence, S.2
  • 10
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    • Wordnet: A lexical database for english
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  • 13
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    • KDD-2000 Workshop on Text Mining ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining (KDD)
    • Steinbach, M., Karypis, G., Kumar, V.: A Comparison of Document Clustering Techniques. In: KDD-2000 Workshop on Text Mining, ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining (KDD) (2000)
    • (2000) A Comparison of Document Clustering Techniques
    • Steinbach, M.1    Karypis, G.2    Kumar, V.3
  • 14
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    • Scalable construction of topic directory with nonparametric closed termset mining
    • Yu, H., Searsmith, D., Li, X., Han, J.: Scalable Construction of Topic Directory with Nonparametric Closed Termset Mining, In: ICDM, 563-566; (2004)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.