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Volumn 3801 LNAI, Issue , 2005, Pages 361-366

Feature selection by fuzzy inference and its application to spam-mail filtering

Author keywords

[No Author keywords available]

Indexed keywords

BIT ERROR RATE; ELECTRONIC MAIL; FILTRATION; FUZZY SETS; INFORMATION ANALYSIS; SIGNAL INTERFERENCE;

EID: 33646842891     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11596448_52     Document Type: Conference Paper
Times cited : (4)

References (7)
  • 2
    • 0032594950 scopus 로고    scopus 로고
    • Support vector machines for spam categorization
    • Drucker, H., Wu, D. and Vapnik, V.: "Support Vector Machines for Spam Categorization," IEEE Trans. on Neural Networks, Vol.10(5) (1999) 1048-1054
    • (1999) IEEE Trans. on Neural Networks , vol.10 , Issue.5 , pp. 1048-1054
    • Drucker, H.1    Wu, D.2    Vapnik, V.3
  • 4
    • 22944471421 scopus 로고    scopus 로고
    • Determination of usenet news groups by fuzzy inference and kohonen network
    • Springer-Verlag
    • Kim, J. W., Kim, H. J., Kang, S. J., and Kim, B. M.: "Determination of Usenet News Groups by Fuzzy Inference and Kohonen Network," Lecture Notes in Artificial Intelligence, Vol.3157, Springer-Verlag (2004) 654-663
    • (2004) Lecture Notes in Artificial Intelligence , vol.3157 , pp. 654-663
    • Kim, J.W.1    Kim, H.J.2    Kang, S.J.3    Kim, B.M.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.