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Volumn , Issue , 2007, Pages 2280-2285

Web page clustering using heuristic search in the web graph

Author keywords

[No Author keywords available]

Indexed keywords

BREADTH-FIRST SEARCH; CLUSTERING RESULTS; ENGLISH WORD; HEURISTIC SEARCH; RETRIEVED DOCUMENTS; TRADITIONAL APPROACHES; WEB PAGE CLUSTERING; WEB SEARCH RESULTS;

EID: 79956297630     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (16)

References (17)
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  • 2
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    • Multiple-goal search algorithms and their application to Web crawling
    • D. Davidov and S. Markovitch. Multiple-goal search algorithms and their application to Web crawling. In Proceedings of AAAI, pages 713-718, 2002.
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  • 3
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    • B. D. Davison. Topical locality in the Web. In Proceedings of SIGIR, pages 272-279, 2000.
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    • Davison, B.D.1
  • 5
    • 0033293618 scopus 로고    scopus 로고
    • Finding related pages in the World Wide Web
    • J. Dean and M. R. Henzinger. Finding related pages in the World Wide Web. Computer Networks, 31:1467-1479, 1999.
    • (1999) Computer Networks , vol.31 , pp. 1467-1479
    • Dean, J.1    Henzinger, M.R.2
  • 6
    • 1542287402 scopus 로고    scopus 로고
    • Analysis of anchor text for Web search
    • N. Eiron and K. McCurley. Analysis of anchor text for Web search. In Proceedings of SIGIR, pages 459-460, 2003.
    • (2003) Proceedings of SIGIR , pp. 459-460
    • Eiron, N.1    McCurley, K.2
  • 8
    • 0037191696 scopus 로고    scopus 로고
    • Web document clustering using hyperlink structures
    • DOI 10.1016/S0167-9473(02)00070-1, PII S0167947302000701
    • X. He, H. Zha, C. H. Q. Ding, and H. D. Simon. Web document clustering using hyperlink structures. Computational Statistics & Data Analysis, 41:19-45, 2002. (Pubitemid 35358593)
    • (2002) Computational Statistics and Data Analysis , vol.41 , Issue.1 , pp. 19-45
    • He, X.1    Zha, H.2    Ding, C.H.Q.3    Simon, H.D.4
  • 9
    • 0030381274 scopus 로고    scopus 로고
    • Reexamining the cluster hypothesis: Scatter/gather on retrieval results
    • M. A. Hearst and J. O. Pedersen. Reexamining the cluster hypothesis: Scatter/gather on retrieval results. In Proceedings of SIGIR, pages 76-84, 1996.
    • (1996) Proceedings of SIGIR , pp. 76-84
    • Hearst, M.A.1    Pedersen, J.O.2
  • 11
    • 3543141293 scopus 로고    scopus 로고
    • Interactive information retrieval using clustering and spatial proximity
    • A. Leuski and J. Allan. Interactive information retrieval using clustering and spatial proximity. User Modeling and User-Adapted Interaction, 14:259-288, 2004.
    • (2004) User Modeling and User-Adapted Interaction , vol.14 , pp. 259-288
    • Leuski, A.1    Allan, J.2
  • 12
    • 85121365374 scopus 로고    scopus 로고
    • Early results for named entity recognition with conditional random fields, feature induction and Web-enhanced lexicons
    • A.McCallum andW. Li. Early results for named entity recognition with conditional random fields, feature induction and Web-enhanced lexicons. In Proc. of CoNLL, 2003.
    • Proc. of CoNLL, 2003
    • McCallum, A.1    Li, W.2
  • 15
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    • An algorithm for information structuring and retrieval
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  • 16
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    • Web document clustering: A feasibility demonstration
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.