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Volumn 1, Issue , 2005, Pages 179-184

Improved spam e-mail filtering based on committee machines and information theoretic feature extraction

Author keywords

Committee machines; Linear models for classification; Multilayer Perceptions; Na ve Bayes; Spam filtering

Indexed keywords

BOOLEAN FUNCTIONS; ELECTRONIC MAIL; FEATURE EXTRACTION; MATHEMATICAL MODELS; MULTILAYER NEURAL NETWORKS; REGRESSION ANALYSIS; SECURITY OF DATA;

EID: 33745954533     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2005.1555826     Document Type: Conference Paper
Times cited : (13)

References (13)
  • 2
    • 31944448641 scopus 로고    scopus 로고
    • How antispam software works
    • April
    • S. Kaplan. "How antispam software works", Wired Magazine, April 2003, pp. 43
    • (2003) Wired Magazine , pp. 43
    • Kaplan, S.1
  • 7
    • 27944493331 scopus 로고    scopus 로고
    • Naïve Bayesian learning
    • Adapted from, Department of Computer Science and Engineering, University of California, San Diego, September
    • C. Elkan, 'Naïve Bayesian Learning', Adapted from Technical Report No. CS97-557, Department of Computer Science and Engineering, University of California, San Diego, September 1997.
    • (1997) Technical Report No. CS97-557 , vol.CS97-557
    • Elkan, C.1
  • 12
    • 85037997203 scopus 로고    scopus 로고
    • Committee machines
    • book chapter in, Yu Hen Hu and Jenq-Neng Hwang (eds.), CRC Press
    • Volker Tresp, 'Committee Machines', book chapter in: Handbook for Neural Network Signal Processing, Yu Hen Hu and Jenq-Neng Hwang (eds.), CRC Press, 2001.
    • (2001) Handbook for Neural Network Signal Processing
    • Tresp, V.1
  • 13
    • 24344492944 scopus 로고    scopus 로고
    • Machine learning techniques in spam filtering
    • University of Tartu Data Mining Problem-oriented Seminar, MTAT
    • K. Tretyakov, "Machine Learning Techniques in Spam Filtering," Institute of Computer Science, University of Tartu Data Mining Problem-oriented Seminar, MTAT, vol. 3, pp. 60-79, 2004.
    • (2004) Institute of Computer Science , vol.3 , pp. 60-79
    • Tretyakov, K.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.