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Volumn , Issue , 2006, Pages

An adaptive, semistructured language model approach to spam filtering on a new corpus

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; ELECTRONIC MAIL; INFORMATION RETRIEVAL SYSTEMS;

EID: 84904804565     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (12)

References (22)
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    • 22544468455 scopus 로고    scopus 로고
    • Boosting trees for anti-spam email filtering
    • X. Carreras and L. Marquez. Boosting trees for anti-spam email filtering. Proceedings of RANLP2001, pages 58-64, 2001.
    • (2001) Proceedings of RANLP2001 , pp. 58-64
    • Carreras, X.1    Marquez, L.2
  • 7
    • 3042815190 scopus 로고    scopus 로고
    • Bayesian network model for semi-structured document classification
    • L. Denoyer and P. Gallinari. Bayesian network model for semi-structured document classification. Inf. Process. Manage., 40(5):807-827, 2004.
    • (2004) Inf. Process. Manage. , vol.40 , Issue.5 , pp. 807-827
    • Denoyer, L.1    Gallinari, P.2
  • 8
    • 0032594950 scopus 로고    scopus 로고
    • Support vector machines for spam categorization
    • H. Drucker, D. Wu, and V. Vapnik. Support vector machines for spam categorization. IEEE Trans. On Neural Networks, 10(5):1048-1054, 1999.
    • (1999) IEEE Trans. on Neural Networks , vol.10 , Issue.5 , pp. 1048-1054
    • Drucker, H.1    Wu, D.2    Vapnik, V.3
  • 9
    • 33750711226 scopus 로고    scopus 로고
    • Learning from little: Comparison of classifiers given little training
    • G. Forman and I. Cohen. Learning from little: Comparison of classifiers given little training. In PKDD, pages 161-172, 2004.
    • (2004) PKDD , pp. 161-172
    • Forman, G.1    Cohen, I.2
  • 12
    • 0002714543 scopus 로고    scopus 로고
    • Making large-scale support vector machine learning practical
    • A. S. B. Schölkopf, C. Burges, editor. MIT Press, Cambridge, MA
    • T. Joachims. Making large-scale support vector machine learning practical. In A. S. B. Schölkopf, C. Burges, editor, Advances in Kernel Methods: Support Vector Machines. MIT Press, Cambridge, MA, 1999.
    • (1999) Advances in Kernel Methods: Support Vector Machines
    • Joachims, T.1
  • 13
    • 0023312404 scopus 로고
    • Estimation of probabilities from sparse data for the language model component of a speech recognizer
    • E. Katz. Estimation of probabilities from sparse data for the language model component of a speech recognizer. IEEE Trans. ASSP, 35(3), 1987.
    • (1987) IEEE Trans. ASSP , vol.35 , Issue.3
    • Katz, E.1
  • 14
    • 22944464423 scopus 로고    scopus 로고
    • The enron corpus: A new dataset for email classification research
    • B. Klimt and Y. Yang. The enron corpus: A new dataset for email classification research. In ECML, pages 217-226, 2004.
    • (2004) ECML , pp. 217-226
    • Klimt, B.1    Yang, Y.2
  • 18
    • 84898946653 scopus 로고    scopus 로고
    • Classfication with hybrid generative/discriminative models
    • 2004
    • R. Raina, Y. Shen, A. Ng, and A. McCallum. Classfication with hybrid generative/discriminative models. NIPS 16, 2004, 2004.
    • (2004) NIPS , vol.16
    • Raina, R.1    Shen, Y.2    Ng, A.3    McCallum, A.4
  • 20
    • 0036643010 scopus 로고    scopus 로고
    • The use of bigrams to enhance text categorization
    • C.-M. Tan, Y.-F. Wang, and C.-D. Lee. The use of bigrams to enhance text categorization. Inf. Process. Manage., 38(4):529-546, 2002.
    • (2002) Inf. Process. Manage. , vol.38 , Issue.4 , pp. 529-546
    • Tan, C.-M.1    Wang, Y.-F.2    Lee, C.-D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.