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Volumn , Issue , 2004, Pages 396-407

Accurate and Efficient Crawling for Relevant Websites

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EID: 85135989264     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1016/B978-012088469-8.50037-1     Document Type: Chapter
Times cited : (39)

References (19)
  • 1
    • 0032283569 scopus 로고    scopus 로고
    • Improved Algorithms for Topic Distillation in a Hyperlinked Environment
    • K. Bharat and M.R. Henziger (1998) Improved Algorithms for Topic Distillation in a Hyperlinked Environment. Proceedings of SIGIR-98
    • (1998) Proceedings of SIGIR-98
    • Bharat, K.1    Henziger, M.R.2
  • 2
    • 85135987253 scopus 로고    scopus 로고
    • Chakrabarti S., van den Berg M., Dom B.: “Distributed Hypertext Resource Discovery Through Examples,” Proceedings VLDB 99.
    • Chakrabarti S., van den Berg M., Dom B.: “Distributed Hypertext Resource Discovery Through Examples,” Proceedings VLDB 99.
  • 3
    • 0002446478 scopus 로고    scopus 로고
    • Focused Crawling: a new Approach to Topic-Specific Web Resource Discovery
    • S. Chakrabarti, M. van den Berg and B. Dom (1999) Focused Crawling: a new Approach to Topic-Specific Web Resource Discovery. Proceedings WWW
    • (1999) Proceedings WWW
    • Chakrabarti, S.1    van den Berg, M.2    Dom, B.3
  • 6
    • 0347180258 scopus 로고    scopus 로고
    • Morgan Kaufmann Publishers
    • S. Chakrabarti (2003) Mining the Web Morgan Kaufmann Publishers 17-43.
    • (2003) Mining the Web , pp. 17-43
    • Chakrabarti, S.1
  • 10
    • 85136077090 scopus 로고    scopus 로고
    • DMOZ open directory project http://dmoz.org
  • 11
    • 85135978960 scopus 로고    scopus 로고
    • Ester M., Kriegel H.-P., Schubert M.: “Website Mining: A new way to spot Competitors, Customers and Suppliers in the World Wide Web”, Proceedings ACM SIGKDD 02.
    • Ester M., Kriegel H.-P., Schubert M.: “Website Mining: A new way to spot Competitors, Customers and Suppliers in the World Wide Web”, Proceedings ACM SIGKDD 02.
  • 12
    • 85135994428 scopus 로고    scopus 로고
    • Google Search Engine
    • Google Search Engine http://www.google.com
  • 13
    • 14344263547 scopus 로고    scopus 로고
    • Centroid-Based Document Classification: Analysis and Experimental Results
    • E.-H. Han and G. Karypis (2000) Centroid-Based Document Classification: Analysis and Experimental Results. Proc. PKDD'00
    • (2000) Proc. PKDD'00
    • Han, E.-H.1    Karypis, G.2
  • 14
    • 0000636553 scopus 로고    scopus 로고
    • Text Categorization with Support Vector Machines: Learning with Many Relevant Features
    • T. Joachims (1998) Text Categorization with Support Vector Machines: Learning with Many Relevant Features. Proceedings European Conference on Machine Learning
    • (1998) Proceedings European Conference on Machine Learning
    • Joachims, T.1
  • 15
    • 33644845387 scopus 로고    scopus 로고
    • Classification of websites as sets of feature vectors
    • H.-P. Kriegel and M. Schubert (2004) Classification of websites as sets of feature vectors. Proc. IASTED DBA
    • (2004) Proc. IASTED DBA
    • Kriegel, H.-P.1    Schubert, M.2
  • 16
    • 0032256758 scopus 로고    scopus 로고
    • Authoritative sources in a hyperlinked environment
    • J. Kleinberg (1998) Authoritative sources in a hyperlinked environment. Proc. ACM-SIAM
    • (1998) Proc. ACM-SIAM
    • Kleinberg, J.1
  • 17
    • 85136069095 scopus 로고    scopus 로고
    • Rennie J., McCallum A.: “Using Reinforcement Learning to Spider the Web Efficiently”, Proceedings ICML 99.
    • Rennie J., McCallum A.: “Using Reinforcement Learning to Spider the Web Efficiently”, Proceedings ICML 99.
  • 18
    • 85136062698 scopus 로고    scopus 로고
    • Yahoo! Directory Service http://www.yahoo.com
  • 19
    • 85024373635 scopus 로고    scopus 로고
    • A Re-Examination of Text Categorization Methods
    • Y. Yang and X. Liu (1999) A Re-Examination of Text Categorization Methods. Proceedings ACM SIGIR
    • (1999) Proceedings ACM SIGIR
    • Yang, Y.1    Liu, X.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.