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Volumn 1, Issue , 2009, Pages 380-386

A K-means approach based on concept hierarchical tree for search results clustering

Author keywords

[No Author keywords available]

Indexed keywords

AGGLOMERATIVE HIERARCHICAL CLUSTERING; CLUSTERING SYSTEM; HIERARCHICAL TREE; K-MEANS; K-MEANS METHOD; METASEARCH; ONLINE SEARCH; QUERY REFINEMENT; SEARCH RESULTS; SEARCH RESULTS CLUSTERING; SEMANTIC RELATIONS; STRINGENT REQUIREMENT; WORDNET;

EID: 76349084066     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FSKD.2009.658     Document Type: Conference Paper
Times cited : (5)

References (15)
  • 1
    • 0032268443 scopus 로고    scopus 로고
    • Web document clustering: A feasibility demonstration
    • Z. Oren, and E. Oren, "Web document clustering: a feasibility demonstration", Proceedings of the 21st ACM SIGIR, 1998, pp. 46-54.
    • (1998) Proceedings of the 21st ACM SIGIR , pp. 46-54
    • Oren, Z.1    Oren, E.2
  • 4
    • 0033294891 scopus 로고    scopus 로고
    • Grouper: A Dynamic Clustering Interface to Web Search Results
    • Z. Oren, and E. Oren, "Grouper: A Dynamic Clustering Interface to Web Search Results", Computer Networks1999, pp. 1361-1374.
    • (1999) Computer Networks , pp. 1361-1374
    • Oren, Z.1    Oren, E.2
  • 5
    • 0004021792 scopus 로고    scopus 로고
    • Clustering Web Documents: A Phrase-Based Method for Grouping Search Engine Results
    • PhD thesis, University of Washington
    • O.E. Zamir, "Clustering Web Documents: A Phrase-Based Method for Grouping Search Engine Results", PhD thesis, University of Washington, 1999.
    • (1999)
    • Zamir, O.E.1
  • 7
    • 24944542352 scopus 로고    scopus 로고
    • Lingo: Search Results Clustering Algorithm Based on Singular Value Decomposition
    • S. Osinski, J. Stefanowski, and D. Weiss, "Lingo: Search Results Clustering Algorithm Based on Singular Value Decomposition", IIPWM'04, 2004, pp. 359-368.
    • (2004) IIPWM'04 , pp. 359-368
    • Osinski, S.1    Stefanowski, J.2    Weiss, D.3
  • 10
    • 0002862737 scopus 로고    scopus 로고
    • Fast and effective text mining using linear-time document clustering
    • L. Bjornar, and A. Chinatsu, "Fast and effective text mining using linear-time document clustering", In Proceedings of the 5th ACM SIGKDD, 1999, pp. 16 -22.
    • (1999) Proceedings of the 5th ACM SIGKDD , pp. 16-22
    • Bjornar, L.1    Chinatsu, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.