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Volumn 1, Issue , 2001, Pages 404-410

The effects of different feature sets on the web page categorization problem using the iterative cross-training algorithm

Author keywords

Feature sets; Iterative cross training; Web page categorization

Indexed keywords

ALGORITHMS; HYPERTEXT SYSTEMS; INFORMATION SYSTEMS; ITERATIVE METHODS;

EID: 84973596312     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (3)

References (8)
  • 3
    • 0001345686 scopus 로고    scopus 로고
    • Context-sensitive learning methods for text categorization
    • Cohen, W. and Singer, Y., 1999, 'Context-sensitive learning methods for text categorization', ACM Transactions on Information Systems, 17(2): 141-173.
    • (1999) ACM Transactions on Information Systems , vol.17 , Issue.2 , pp. 141-173
    • Cohen, W.1    Singer, Y.2
  • 4
    • 0000636553 scopus 로고    scopus 로고
    • Text categorization with support vector machines: Learning with many relevant feature
    • Springer Verlag
    • Joachims, T., 1998, 'Text categorization with support vector machines: Learning with many relevant feature', Proceedings Tenth European Conference on Machine Learning, Springer Verlag.
    • (1998) Proceedings Tenth European Conference on Machine Learning
    • Joachims, T.1
  • 5
    • 0033886806 scopus 로고    scopus 로고
    • Text classification from labeled and unlabeled documents using em
    • Nigam, K., McCallum, A., Thrun, S. and Mitchell, T., 2000, 'Text classification from labeled and unlabeled documents using EM', Machine Learning, 39(2/3): 103-134.
    • (2000) Machine Learning , vol.39 , Issue.2-3 , pp. 103-134
    • Nigam, K.1    McCallum, A.2    Thrun, S.3    Mitchell, T.4
  • 6
    • 0028461417 scopus 로고
    • Automated learning of decision rules for text categorization
    • Apte, C., and Damerau, F., 1994 'Automated learning of decision rules for text categorization', ACM TOES, 12(2): 233-251.
    • (1994) ACM TOES , vol.12 , Issue.2 , pp. 233-251
    • Apte, C.1    Damerau, F.2
  • 7
    • 0004255908 scopus 로고    scopus 로고
    • McGraw-Hill. New York
    • Mitchell, T., 1997, Machine Learning, McGraw-Hill. New York, 180-184.
    • (1997) Machine Learning , pp. 180-184
    • Mitchell, T.1
  • 8
    • 84973666109 scopus 로고    scopus 로고
    • Carnegie Mellon University, U.S.A
    • The World Wide Knowledge Base (web-kb) project, http://www.cs.cmu.edu/afs/cs.cmu.edu/project/theo-51/www/co-training/data/course-cotrain-data.tar.gz, Carnegie Mellon University, U.S.A.
    • The World Wide Knowledge Base (Web-kb) Project


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.