메뉴 건너뛰기




Volumn , Issue , 2004, Pages 395-398

The anatomy of a hierarchical clustering engine for web-page, news and book snippets

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTER-ASSIGNMENT PROCESSES; COMPUTER SOFTWARES - SNAKET; SEARCH ENGINES - GOOGLE; SENTENCES SELECTION; WEB SNIPPET HIERARCHICAL CLUSTERING PROBLEMS;

EID: 19544374299     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2004.10027     Document Type: Conference Paper
Times cited : (25)

References (17)
  • 2
    • 77953041520 scopus 로고    scopus 로고
    • Bringing order to the web: Automatically categorizing search results
    • H. Chen and S. T. Dumais. Bringing order to the web: automatically categorizing search results. In SIGCH100.
    • SIGCH100
    • Chen, H.1    Dumais, S.T.2
  • 3
    • 19544361823 scopus 로고    scopus 로고
    • The anatomy of a clustering engine
    • TR04-04 Informatica, Pisa
    • P. Ferragina and A. Gulli. The anatomy of a clustering engine. Technical report, TR04-04 Informatica, Pisa, 2004.
    • (2004) Technical Report
    • Ferragina, P.1    Gulli, A.2
  • 4
    • 19544388719 scopus 로고    scopus 로고
    • Large hierarchical document clustering using frequent itemsets
    • B. Fung, K. Wang, and M. Ester. Large hierarchical document clustering using frequent itemsets. In SDM03.
    • SDM03
    • Fung, B.1    Wang, K.2    Ester, M.3
  • 5
    • 19544373916 scopus 로고    scopus 로고
    • Webcat: Automatic categorization of web search results
    • F. Giannotti, M. Nanni, and D. Pedreschi. Webcat: Automatic categorization of web search results. In SEBD03.
    • SEBD03
    • Giannotti, F.1    Nanni, M.2    Pedreschi, D.3
  • 6
    • 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 SIGIR-96.
    • SIGIR-96
    • Hearst, M.A.1    Pedersen, J.O.2
  • 8
    • 19544362323 scopus 로고    scopus 로고
    • A hierarchical monothetic document clustering algorithm for summarization and browsing search results
    • K. Kummamuru. A hierarchical monothetic document clustering algorithm for summarization and browsing search results. In WWW04.
    • WWW04
    • Kummamuru, K.1
  • 9
    • 85085719103 scopus 로고    scopus 로고
    • Generating hiearchical summaries for web searches
    • D. J. Lawrie and W. B. Croft. Generating hiearchical summaries for web searches. In SIGIR03.
    • SIGIR03
    • Lawrie, D.J.1    Croft, W.B.2
  • 10
    • 0242701229 scopus 로고    scopus 로고
    • Ephemeral document clustering for web applications
    • IBM Research
    • Y. S. Maarek, R. Fagin, I. Z. Ben-Shaul, and D. Pelleg. Ephemeral document clustering for web applications. Technical Report RJ 10186, IBM Research, 2000.
    • (2000) Technical Report , vol.RJ 10186
    • Maarek, Y.S.1    Fagin, R.2    Ben-Shaul, I.Z.3    Pelleg, D.4
  • 12
    • 77953039019 scopus 로고    scopus 로고
    • Web search results clustering in polish: Experimental evaluation of carrot
    • D. Weiss and J. Stefanowski. Web search results clustering in polish: Experimental evaluation of carrot. In IIS03.
    • IIS03
    • Weiss, D.1    Stefanowski, J.2
  • 13
    • 1642397989 scopus 로고    scopus 로고
    • Extracting features from web search returned hits for hierarchical classification
    • Y. Wu and X. Chen. Extracting features from web search returned hits for hierarchical classification. In IKE03.
    • IKE03
    • Wu, Y.1    Chen, X.2
  • 14
    • 84867151116 scopus 로고    scopus 로고
    • On combining link and contents information for web page clustering
    • M. K. Yitong Wang. On combining link and contents information for web page clustering. In DEXA02.
    • DEXA02
    • Wang, M.K.Y.1
  • 15
    • 0033294891 scopus 로고    scopus 로고
    • Grouper: A dynamic clustering interface to Web search results
    • O. Zamir and O. Etzioni. Grouper: a dynamic clustering interface to Web search results. In Computer Networks 98.
    • Computer Networks , vol.98
    • Zamir, O.1    Etzioni, O.2
  • 16
    • 36448934580 scopus 로고    scopus 로고
    • Learning to cluster web search results
    • H. Zeng, Q. He, Z. Chen, and W. Ma. Learning to cluster web search results. In SIGIR04.
    • SIGIR04
    • Zeng, H.1    He, Q.2    Chen, Z.3    Ma, W.4
  • 17
    • 19544385383 scopus 로고    scopus 로고
    • Semantic, hierarchical, online clustering of web search results
    • D. Zhang and Y. Dong. Semantic, hierarchical, online clustering of web search results. In WIDM01.
    • WIDM01
    • Zhang, D.1    Dong, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.