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Volumn , Issue , 2010, Pages 181-186

Fuzzy document clustering approach using WordNet lexical categories

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTER ANALYSIS; COPYING; EFFICIENCY; FUZZY CLUSTERING; FUZZY SYSTEMS; INFORMATION RETRIEVAL; ONTOLOGY; SOFTWARE ENGINEERING; TEXT MINING;

EID: 79959890755     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-90-481-3660-5_31     Document Type: Conference Paper
Times cited : (7)

References (26)
  • 1
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    • Frequent term-based text clustering
    • F. Beil, M. Ester, and X. Xu, "Frequent term-based text clustering." KDD 02, 2002, pp. 436-442.
    • (2002) KDD 02 , pp. 436-442
    • Beil, F.1    Ester, M.2    Xu, X.3
  • 7
    • 9444244198 scopus 로고    scopus 로고
    • Mining the peanut gallery: Opinion extraction and semantic classification of product reviews
    • D.M.P.K. Dave, & S. Lawrence, "Mining the peanut gallery: Opinion extraction and semantic classification of product reviews" WWW 03 ACM, 2003, pp. 519-528.
    • (2003) WWW 03 ACM , pp. 519-528
    • Dave, D.M.P.K.1    Lawrence, S.2
  • 8
    • 35548981661 scopus 로고    scopus 로고
    • Building hypertext links in newspaper articles using semantic similarity
    • S.J. Green, "Building hypertext links in newspaper articles using semantic similarity". NLDB 97, 1997, pp. 178-190.
    • (1997) NLDB 97 , pp. 178-190
    • Green, S.J.1
  • 9
    • 0033321440 scopus 로고    scopus 로고
    • Building hypertext links by computing semantic similarity
    • S.J. Green, "Building hypertext links by computing semantic similarity". TKDE 1999, 11(5), pp. 50-57.
    • TKDE 1999 , vol.11 , Issue.5 , pp. 50-57
    • Green, S.J.1
  • 12
    • 84878596283 scopus 로고    scopus 로고
    • WordNet project available at: http://wordnet.princeton.edu/
  • 14
    • 0033906881 scopus 로고    scopus 로고
    • Using wordnet and lexical operators to improve internet searches
    • D.I. Moldovan, and R. Mihalcea, "Using wordnet and lexical operators to improve internet searches". IEEE Internet Computing 2000, 4(1), pp. 34-43.
    • IEEE Internet Computing 2000 , vol.4 , Issue.1 , pp. 34-43
    • Moldovan, D.I.1    Mihalcea, R.2
  • 15
    • 35548973432 scopus 로고    scopus 로고
    • A new unsupervised method for document clustering by using WordNet lexical and conceptual relations
    • D. Reforgiato, "A new unsupervised method for document clustering by using WordNet lexical and conceptual relations". Journal of Information Retrieval, Vol (10), 2007, pp. 563-579.
    • (2007) Journal of Information Retrieval , vol.10 , pp. 563-579
    • Reforgiato, D.1
  • 18
    • 84904117366 scopus 로고
    • Query expansion using lexical-semantic relations
    • E.M. Voorhees, "Query expansion using lexical-semantic relations". In Proceedings of ACM-SIGIR, 1994, pp. 61-69.
    • (1994) Proceedings of ACM-SIGIR , pp. 61-69
    • Voorhees, E.M.1
  • 20
    • 50649105831 scopus 로고    scopus 로고
    • Fast and intuitive clustering of web documents
    • O. Zamir, O. Etzioni, O. Madani, and R.M. Karp, "Fast and intuitive clustering of web documents". KDD 97, 1997, pp. 287-290.
    • (1997) KDD 97 , pp. 287-290
    • Zamir, O.1    Etzioni, O.2    Madani, O.3    Karp, R.M.4
  • 24
    • 84878537448 scopus 로고    scopus 로고
    • EMail1200 dataset available at: http://boole.cs.iastate.edu/book/acad/ bag/data/lingspam
    • EMail1200 Dataset
  • 25
    • 84878571932 scopus 로고    scopus 로고
    • SCOTS dataset available at: http://www.scottishcorpus.ac.uk/
  • 26
    • 84878538903 scopus 로고    scopus 로고
    • Reuters dataset available at: http://www.daviddlewis.com/resources/ testcollections/reuters21578/
    • Reuters Dataset


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.