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Volumn 3306, Issue , 2004, Pages 619-628

Spam mail filtering system using semantic enrichment

Author keywords

[No Author keywords available]

Indexed keywords

ELECTRONIC MAIL; ELECTRONIC MAIL FILTERS; IGNITION; INTERNET; SEMANTICS; STARTING;

EID: 35048880703     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30480-7_64     Document Type: Article
Times cited : (5)

References (24)
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    • Dept. of Computer Sciences at the U. of Texas ay Austin
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    • (1999) Technical Report
    • Provost, J.1
  • 8
    • 0009304541 scopus 로고    scopus 로고
    • A Bayesian Approach to Filtering Junk E-Mail
    • Learning for Text Categorization, Proc. of the AAAI Workshop, Madison Wisconsin.
    • Sahami, M., Dumais, S., Heckerman, D. and Horvitz, E. : A Bayesian Approach to Filtering Junk E-Mail. In Learning for Text Categorization, Proc. of the AAAI Workshop, Madison Wisconsin. AAAI Technical Report WS-98-05, (1998) 55-62.
    • (1998) AAAI Technical Report , vol.WS-98-05 , pp. 55-62
    • Sahami, M.1    Dumais, S.2    Heckerman, D.3    Horvitz, E.4
  • 10
    • 0000636553 scopus 로고    scopus 로고
    • Text Categorization with Support Vector Machines: Learning with Many Relevant Features
    • Joachims, T. : Text Categorization with Support Vector Machines: Learning with Many Relevant Features, European Conference on Machine Learning, (1998).
    • (1998) European Conference on Machine Learning
    • Joachims, T.1
  • 13
    • 33947272689 scopus 로고    scopus 로고
    • Semantic enrichment of a web legal information retrieval system
    • Proc. of the JURIX2002, London, UK
    • Saias, J., Quaresma, P. : Semantic enrichment of a web legal information retrieval system, Proc. of the JURIX2002, volume 89 of Frontiers in AI and Applications, London, UK, (2002) 11-20.
    • (2002) Frontiers in AI and Applications , vol.89 , pp. 11-20
    • Saias, J.1    Quaresma, P.2
  • 15
    • 0004255908 scopus 로고    scopus 로고
    • Chapter 6: Bayesian Learning, McGraw-Hill
    • Mitchell, T. M. : Machine Learning, Chapter 6: Bayesian Learning, McGraw-Hill, (1997).
    • (1997) Machine Learning
    • Mitchell, T.M.1
  • 18
    • 35048818167 scopus 로고    scopus 로고
    • Weighted naïve Bayes modelling for data mining
    • Dept. of Mathematics at Imperial College
    • J. T. A. S. Ferreira, D. G. T. Denison, D. J. Hand : Weighted naïve Bayes modelling for data mining, Technical report, Dept. of Mathematics at Imperial College, (2001).
    • (2001) Technical Report
    • Ferreira, J.T.A.S.1    Denison, D.G.T.2    Hand, D.J.3
  • 24
    • 1442335145 scopus 로고    scopus 로고
    • Using text classification and multiple concepts to answer e-mails
    • Weng, S. S., Liu, C. K.: Using text classification and multiple concepts to answer e-mails, Expert Systems with Applications, Volume 26, No. 4, (2004).
    • (2004) Expert Systems with Applications , vol.26 , Issue.4
    • Weng, S.S.1    Liu, C.K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.