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Volumn , Issue , 2012, Pages 918-925

Effective text classification by a supervised feature selection approach

Author keywords

Feature selection; Text classification

Indexed keywords

AUTOMATIC FEATURE SELECTION; CLASSIFICATION ACCURACY; DATA SETS; DOCUMENT FREQUENCY; EMPIRICAL STUDIES; F-MEASURE; FEATURE SELECTION METHODS; FEATURE SPACE; HIGH DIMENSIONALITY; INFORMATION GAIN; K-NN CLASSIFIER; MUTUAL INFORMATIONS; TERM SELECTION; TEXT CLASSIFICATION; THRESHOLDING;

EID: 84873102035     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDMW.2012.45     Document Type: Conference Paper
Times cited : (54)

References (19)
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    • (2007) Journal of Computational Information Systems , vol.3 , Issue.3 , pp. 1007-1012
    • Xu, Y.1    Jones, G.2    Li, J.3    Wang, B.4    Sun, C.5
  • 10
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    • Berlin, Germany
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    • Joachims, T.1
  • 15
    • 2942731012 scopus 로고    scopus 로고
    • An extensive empirical study of feature selection metrics for text classification
    • G. Forman. An Extensive Empirical Study of Feature Selection Metrics for Text Classification. The Journal of Machine Learning Research, vol. 3(1), pp. 1289-1305, 2003.
    • (2003) The Journal of Machine Learning Research , vol.3 , Issue.1 , pp. 1289-1305
    • Forman, G.1
  • 18
    • 84948481845 scopus 로고
    • An algorithm for suffix stripping
    • M. F. Porter, "An Algorithm for Suffix Stripping", Program, vol. 14, no. 3, pp. 130-137, 1980.
    • (1980) Program , vol.14 , Issue.3 , pp. 130-137
    • Porter, M.F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.