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Volumn 10, Issue 5, 1999, Pages 1048-1054

Support vector machines for spam categorization

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CONSTRAINT THEORY; DATA STRUCTURES; ELECTRONIC MAIL; TREES (MATHEMATICS); VECTORS;

EID: 0032594950     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/72.788645     Document Type: Article
Times cited : (1146)

References (18)
  • 3
    • 0032131717 scopus 로고    scopus 로고
    • Spam!
    • Aug.
    • L. Faith Cranor and B. H. LaMacchia, "Spam!," Commun. ACM, vol 41, no. 8, pp. 74-83, Aug. 1998; also see http:///www.research.att.com/lorrie/pubs
    • (1998) Commun. ACM , vol.41 , Issue.8 , pp. 74-83
    • Faith Cranor, L.1    LaMacchia, B.H.2
  • 5
    • 0000636553 scopus 로고    scopus 로고
    • Text categorization with support vector machine: Learning with many relevant features
    • T. Joachims, "Text categorization with support vector machine: Learning with many relevant features," in European Conf. Machine Learning, 1998.
    • (1998) European Conf. Machine Learning
    • Joachims, T.1
  • 7
    • 0002978642 scopus 로고    scopus 로고
    • Experiments with a new boosting algorithm
    • San Mateo, CA: Morgan Kaufmann
    • Y. Freund and R. E. Schapire, "Experiments with a new boosting algorithm," in Machine Learning: Proc. 13th Int. Conf. San Mateo, CA: Morgan Kaufmann, 1996, pp. 148-156.
    • (1996) Machine Learning: Proc. 13th Int. Conf. , pp. 148-156
    • Freund, Y.1    Schapire, R.E.2
  • 8
    • 0030419058 scopus 로고    scopus 로고
    • Game theory, on-line prediction, and boosting
    • _, "Game theory, on-line prediction, and boosting," in Proc. 9th Annu. Conf. Comput. Learning Theory, 1996, pp. 325-332.
    • (1996) Proc. 9th Annu. Conf. Comput. Learning Theory , pp. 325-332
  • 11
    • 84899013173 scopus 로고    scopus 로고
    • Support vector regression machines
    • M. C. Mozer, J. I. Joradn, and T. Petsche, Eds. Cambridge, MA: MIT Press
    • H. Drucker, C. J. C. Burges, L. Kauffman, A. Smola, and V. Vapnik, "Support vector regression machines," in Neural Inform. Processing Syst. 9, M. C. Mozer, J. I. Joradn, and T. Petsche, Eds. Cambridge, MA: MIT Press, 1997, pp. 155-161.
    • (1997) Neural Inform. Processing Syst. 9 , pp. 155-161
    • Drucker, H.1    Burges, C.J.C.2    Kauffman, L.3    Smola, A.4    Vapnik, V.5
  • 12
    • 0003120218 scopus 로고    scopus 로고
    • Sequential minimal optimization: A fast algorithm for training support vector machines
    • Scholkopf, Burges, and Smola, Eds. Cambridge, MA: MIT Press
    • J. C. Platt, "Sequential minimal optimization: A fast algorithm for training support vector machines," in Advances in Kernel Method: Support Vector Learning, Scholkopf, Burges, and Smola, Eds. Cambridge, MA: MIT Press, 1998, pp. 185-208.
    • (1998) Advances in Kernel Method: Support Vector Learning , pp. 185-208
    • Platt, J.C.1
  • 13
    • 0031334889 scopus 로고    scopus 로고
    • Improved training algorithm for support vector machines
    • E. Osuna, R. Freund, and F. Girosi, "Improved training algorithm for support vector machines," in Proc. IEEE NNSP'97, 1997.
    • (1997) Proc. IEEE NNSP'97
    • Osuna, E.1    Freund, R.2    Girosi, F.3
  • 14
    • 85149612939 scopus 로고
    • Fast effective rule induction
    • San Mateo, CA: Morgan Kaufmann
    • W. W. Cohen, "Fast effective rule induction," in Proc. 12th Int. Conf. Machine Learning. San Mateo, CA: Morgan Kaufmann, 1995, pp. 115-123.
    • (1995) Proc. 12th Int. Conf. Machine Learning , pp. 115-123
    • Cohen, W.W.1
  • 16
    • 0002409860 scopus 로고    scopus 로고
    • A probabilistic analysis of the Rocchio algorithm with TFIDF for text categorization
    • D. Fisher, Ed. San Mateo, CA: Morgan Kaufman
    • T. Joachims, "A probabilistic analysis of the Rocchio algorithm with TFIDF for text categorization," in Proc. 14th Int. Conf. Machine Learning, D. Fisher, Ed. San Mateo, CA: Morgan Kaufman, 1997.
    • (1997) Proc. 14th Int. Conf. Machine Learning
    • Joachims, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.