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Volumn 5, Issue 8, 2010, Pages 9-

E-mail Spam filtering based on support vector machines with Taguchi method for parameter selection

Author keywords

Grid search (GS); Support Vector Machines (SVM); Taguchi method

Indexed keywords

CLASSIFICATION ACCURACY; CLASSIFICATION PERFORMANCE; CLASSIFICATION TECHNIQUE; DATA SETS; E-MAIL SPAM; GRID SEARCH; OPTIMAL APPROXIMATION; PARAMETER SELECTION; REAL-WORLD; REAL-WORLD APPLICATION; SUPPORT VECTOR MACHINES (SVM); TAGUCHI; TRAINING PROCESS;

EID: 78651592796     PISSN: 19759320     EISSN: None     Source Type: Journal    
DOI: 10.4156/jcit.vol5.issue8.9     Document Type: Article
Times cited : (18)

References (16)
  • 7
    • 8344223268 scopus 로고    scopus 로고
    • Naive-bayes vs. rule-learning in classification of email. The University of Texas at Austin
    • J. Provost, "Naive-bayes vs. rule-learning in classification of email. The University of Texas at Austin," Artificial Intelligence Lab. Technical Report AI-TR-99-284, 1999.
    • (1999) Artificial Intelligence Lab. Technical Report AI-TR-99-284
    • Provost, J.1
  • 8
    • 33748076461 scopus 로고    scopus 로고
    • A GA-based feature selection and parameters optimizationfor support vector machines
    • C. L. Huang and C. J. Wang, "A GA-based feature selection and parameters optimizationfor support vector machines," Expert Systems With Applications, vol. 31, pp. 231-240, 2006.
    • (2006) Expert Systems With Applications , vol.31 , pp. 231-240
    • Huang, C.L.1    Wang, C.J.2
  • 10
    • 29144521785 scopus 로고    scopus 로고
    • The genetic kernel support vector machine: Description and evaluation
    • T. Howley and M. G. Madden, "The genetic kernel support vector machine: Description and evaluation," Artificial Intelligence Review, vol. 24, pp. 379-395, 2005.
    • (2005) Artificial Intelligence Review , vol.24 , pp. 379-395
    • Howley, T.1    Madden, M.G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.