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Volumn 3824 LNCS, Issue , 2005, Pages 1147-1154

SVM classifier incorporating feature selection using GA for spam detection

Author keywords

Feature selection; Genetic Algorithm (GA); Spam detection; Support Vector Machines (SVM)

Indexed keywords

COMPUTER CRIME; DATABASE SYSTEMS; ELECTRONIC MAIL; GENETIC ALGORITHMS; SECURITY SYSTEMS; VECTOR QUANTIZATION;

EID: 33744951647     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11596356_113     Document Type: Conference Paper
Times cited : (14)

References (13)
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  • 4
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  • 5
    • 0031381525 scopus 로고    scopus 로고
    • Wrappers for feature subset selection
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    • Kohavi, R.1    John, G.H.2
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    • 33745561205 scopus 로고    scopus 로고
    • An introduction to variable and feature selection
    • Isabelle Guyon, Andre Elissee. An introduction to variable and feature selection. Journal of Machine Learning Research. 2003 (3):1157-1182
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    • Guyon, I.1    Elissee, A.2
  • 8
    • 0036161011 scopus 로고    scopus 로고
    • Choosing multiple parameters for support vector machines
    • Olivier Chapelle, Vladimir Vapnik, Olivier Bousquet, Sayan Mukherjee. Choosing multiple parameters for support vector machines. Machine Learning. 2002 (46):131-159,
    • (2002) Machine Learning , Issue.46 , pp. 131-159
    • Chapelle, O.1    Vapnik, V.2    Bousquet, O.3    Mukherjee, S.4
  • 12
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    • Genetic algorithms: A survey
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    • Srinivas, M.1    Patnaik, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.