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Volumn , Issue , 2004, Pages 203-211

Learning block importance models for Web pages

Author keywords

Block importance model; Classification; Page segmentation; Web mining

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA MINING; DATA STRUCTURES; DATABASE SYSTEMS; HIERARCHICAL SYSTEMS; INFORMATION MANAGEMENT; LEARNING ALGORITHMS;

EID: 18744381159     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/988672.988700     Document Type: Conference Paper
Times cited : (232)

References (17)
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    • IEEE Transactions on Electronic Computers , vol.EC-14 , pp. 326-334
    • Cover, T.M.1
  • 7
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    • Error-correcting output codes: A general method for improving multiclass inductive learning programs
    • AAAI press / MIT press
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    • Dietterich, T.G.1    Bakiri, G.2
  • 13
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    • Principles of risk minimization for learning theory
    • D. S. Lippman, J. E. Moody, and D. S. Touretzky, editors. Morgan Kaufmann
    • V. Vapnik. Principles of risk minimization for learning theory. In D. S. Lippman, J. E. Moody, and D. S. Touretzky, editors, Advances in Neural Information Processing Systems 3, pages 831-838. Morgan Kaufmann, 1992
    • (1992) Advances in Neural Information Processing Systems , vol.3 , pp. 831-838
    • Vapnik, V.1
  • 14
    • 27144441097 scopus 로고    scopus 로고
    • An evaluation of statistical approaches to text categorization
    • Yang, Y., An Evaluation of Statistical Approaches to Text Categorization, Information Retrieval, Vol. 1, Number 1-2, pp.69-90, 1999
    • (1999) Information Retrieval , vol.1 , Issue.1-2 , pp. 69-90
    • Yang, Y.1
  • 17
    • 84880475213 scopus 로고    scopus 로고
    • Improving pseudo-relevance feedback in Web information retrieval using web page segmentation
    • Budapest, Hungary, May
    • Yu, S., Cai, D., Wen, J.-R. and Ma, W.-Y., Improving Pseudo-Relevance Feedback in Web Information retrieval Using Web Page Segmentation, in the proceedings of Twelfth World Wide Web conference (WWW 2003), Budapest, Hungary, May 2003.
    • (2003) Proceedings of Twelfth World Wide Web Conference (WWW 2003)
    • Yu, S.1    Cai, D.2    Wen, J.-R.3    Ma, W.-Y.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.