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Volumn 2, Issue , 2006, Pages 856-860

A graph-based semi-supervised learning algorithm for web page classification

Author keywords

Graph; Link information; Semi supervised learning; Web page classification

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA REDUCTION; WEBSITES;

EID: 34547548391     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISDA.2006.253724     Document Type: Conference Paper
Times cited : (17)

References (14)
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    • Tri-training: Exploiting unlabeled data using three classifiers
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    • Zhou, Z.H.1    Li, M.2
  • 7
    • 0001938951 scopus 로고    scopus 로고
    • Transductive inference for text classification using support vector machines
    • Morgan Kaufmann, San Francisco, CA. pp
    • T.Joachims, "Transductive inference for text classification using support vector machines", Proceedings of the 16th International Conf. on Machine Learning, Morgan Kaufmann, San Francisco, CA. pp.200-209, 1999.
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  • 10
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    • Context-Based Classification for Link Data
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    • YongHong Tian, Wen Gao, and Tie-Jun Huang, "Context-Based Classification for Link Data", Proceedings of International Conference on Web-Based Learning, 233-240, Aug.2004, Beijing, China. Lecture Notes in Computer Science 3143, Springer.
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    • T. M. Huang, V. Kecman, "Semi-supervised learning from unbalanced labeled data - an improvement", Knowledge Based and Emergent Technologies Relied Intelligent Information and Engineering Systems, Eds. Negoita, M. Gh., et al., Lecture Notes on Computer Science 3215, Springer Verlag, Heidelberg, pp. 765-771, 2004
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.