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Volumn 3, Issue , 2003, Pages 1289-1305

An extensive empirical study of feature selection metrics for text classification

Author keywords

Document categorization; ROC; Supervised learning; Support vector machines

Indexed keywords

CORRELATED FAILURES; DOCUMENT CATEGORIZATION; EMPIRICAL - COMPARISONS; EVALUATION METHODOLOGIES; FEATURE SELECTION METHODS; FEATURE SELECTION METRICS; INDUCTION ALGORITHMS; ROC;

EID: 2942731012     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (2068)

References (14)
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    • Guyon, I.1    Weston, J.2    Barnhill, S.3    Vapnik, V.4
  • 5
    • 84957069814 scopus 로고    scopus 로고
    • Text categorization with support vector machines: Learning with many relevant features
    • Berlin, Germany
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    • (1998) Proceedings of the Tenth European Conference on Machine Learning (ECML) , pp. 137-142
    • Joachims, T.1
  • 6
    • 0031381525 scopus 로고    scopus 로고
    • Wrappers for feature subset selection
    • Ron Kohavi and George H. John. Wrappers for Feature Subset Selection. Artificial Intelligence, 97(1- 2):273-324, 1997.
    • (1997) Artificial Intelligence , vol.97 , Issue.1-2 , pp. 273-324
    • Kohavi, R.1    John, G.H.2
  • 7
    • 0004206129 scopus 로고
    • Tests of a statistical explanation of the rank-frequency relation for words in written English
    • George A. Miller and Edwin B. Newman. Tests of a statistical explanation of the rank-frequency relation for words in written English. American Journal of Psychology, 71:209-218, 1958.
    • (1958) American Journal of Psychology , vol.71 , pp. 209-218
    • Miller, G.A.1    Newman, E.B.2
  • 11
    • 33744569963 scopus 로고
    • What is the best index of detectability?
    • Adrian J. Simpson and Mike J. Fitter. What is the Best Index of Detectability? Psychological Bulletin, 80(6):481-488, 1973.
    • (1973) Psychological Bulletin , vol.80 , Issue.6 , pp. 481-488
    • Simpson, A.J.1    Fitter, M.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.