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Volumn 5, Issue , 2005, Pages 3272-3277

Information-theoretic feature selection algorithms for text classification

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATABASE SYSTEMS; FEATURE EXTRACTION; FUNCTION EVALUATION; MATHEMATICAL MODELS;

EID: 33750134997     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2005.1556452     Document Type: Conference Paper
Times cited : (19)

References (19)
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  • 3
    • 84957069814 scopus 로고    scopus 로고
    • Text categorization with support vector machines: Learning with many relevant features
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    • Joachims, T.1
  • 4
    • 27144441097 scopus 로고    scopus 로고
    • An evaluation of statistical approaches to text categorization
    • Y. Yang, "An evaluation of statistical approaches to text categorization," Journal of Information Retrieval, vol. 1, pp. 67-68, 1999.
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    • Yang, Y.1
  • 6
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    • Machine learning in automated text categorization
    • March
    • F. Sebastiani, "Machine learning in automated text categorization," ACM Computing Surveys, vol. 34, no. 1, pp. 1-17, March 2002.
    • (2002) ACM Computing Surveys , vol.34 , Issue.1 , pp. 1-17
    • Sebastiani, F.1
  • 7
    • 0003141935 scopus 로고    scopus 로고
    • A comparative study on feature selection in text categorization
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    • (1997) Proceedings of the 14th ICML97 , pp. 412-420
    • Yang, Y.1    Pedersen, J.O.2
  • 9
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    • An experimental study of feature selection metrics for text categorization
    • G. Forman, "An experimental study of feature selection metrics for text categorization." Journal of Machine Learning Research, vol. 3, pp. 1289-1305, 2003.
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    • Forman, G.1
  • 10
    • 0028468293 scopus 로고
    • Using mutual information for selecting features in supervised neural net learning
    • R. Battiti. "Using mutual information for selecting features in supervised neural net learning," IEEE Transactions on Neural Networks, vol. 5, pp. 537-550, 1994.
    • (1994) IEEE Transactions on Neural Networks , vol.5 , pp. 537-550
    • Battiti, R.1
  • 11
    • 0033315726 scopus 로고    scopus 로고
    • Improved mutual information feature selector for neural networks in supervised learning
    • N. Kwak and C. Choi, "Improved mutual information feature selector for neural networks in supervised learning," in Int. Joint Conf. on Neural Networks (IJCNN '99), 1999, pp. 1313-1318.
    • (1999) Int. Joint Conf. on Neural Networks (IJCNN '99) , pp. 1313-1318
    • Kwak, N.1    Choi, C.2
  • 12
    • 33750107952 scopus 로고    scopus 로고
    • Idea Group Publishing, Hershey, PA, ch. A learner-independent evaluation of the usefulness of statistical phrases for automated text categorization
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    • (2001) Text Databases and Document Management: Theory and Practice , pp. 78102
    • Caropreso, M.1    Matwin, S.2    Sebastiani, F.3
  • 16
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    • Floating search methods in feature selection
    • November
    • P. Pudil, J. Novovičová, and J. Kittler, "Floating search methods in feature selection," Pattern Recognition Letters, vol. 15. pp. 1119-1125, November 1993.
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  • 19
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.