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Volumn 2005, Issue , 2005, Pages 663-667

Web sensitive text filtering by combining semantics and statistics

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL METHODS; INFORMATION ANALYSIS; SEMANTICS; STATISTICAL METHODS; WORLD WIDE WEB;

EID: 33847289700     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NLPKE.2005.1598819     Document Type: Conference Paper
Times cited : (13)

References (10)
  • 1
    • 0013386333 scopus 로고    scopus 로고
    • Neural Networks for Web Content Filtering
    • P.Y. Lee, S.C. Hui and A. Fong, "Neural Networks for Web Content Filtering", Intelligent Systems, 17(5): 48-57, 2002
    • (2002) Intelligent Systems , vol.17 , Issue.5 , pp. 48-57
    • Lee, P.Y.1    Hui, S.C.2    Fong, A.3
  • 3
    • 84953846430 scopus 로고    scopus 로고
    • NetProtect Research Group, "Report in Filtering Techniques and Approaches NETPROTECT: WP2: 2.3 V1.0 23", Technical Report, Oct 2001
  • 5
    • 84953846431 scopus 로고    scopus 로고
    • http://www.ce.unipr.it/pardis/CNN/#InterPoint
  • 8
    • 84953846432 scopus 로고    scopus 로고
    • K. Aas and L. Eikvil, "Text Categorization: a Survey", Technical Report -941, Norwegian Computing Center, 1999.
  • 9
    • 84957069814 scopus 로고    scopus 로고
    • Text Categorization with Support Vector Machines: Learning with Many Relevant Features
    • T. Joachims, "Text Categorization with Support Vector Machines: Learning with Many Relevant Features", Proc. the 10th European Conference on Machine Learning, pp. 137-142, 1998.
    • (1998) Proc. the 10th European Conference on Machine Learning , pp. 137-142
    • Joachims, T.1
  • 10
    • 84953846433 scopus 로고    scopus 로고
    • http://www.csie.ntu.edu.tw/~cjlin/papers/guide/guide.pdf


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.