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Volumn , Issue , 2007, Pages 333-340

An evaluation of Naïve Bayesian anti-spam filtering techniques

Author keywords

Evaluation; Na ve Bayesian; Spam filter

Indexed keywords

ANTI SPAM; ANTI SPAM FILTERING; BAYESIAN; BAYESIAN FILTERING; CONTENT-BASED; COST-SENSITIVE; DERIVATIVE FILTER; FILTERING TECHNIQUES; INFORMATION ASSURANCE (IA); LEGITIMATE MESSAGES; SAFETY PRECAUTIONS; SELF - LEARNING;

EID: 44949263916     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IAW.2007.381951     Document Type: Conference Paper
Times cited : (32)

References (16)
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  • 6
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    • August 2002
    • Graham, P. 〈http://www.paulgraham.com/antispam.html〉 August 2002.
    • Graham, P
  • 7
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    • An evaluation of naïve Bayesian anti-spam filtering
    • Potamias, G, Moustakis, V, and Van Someren, M, eds
    • Potamias, G., Moustakis, V., and Van Someren, M. (eds.), "An evaluation of naïve Bayesian anti-spam filtering.," in Proceedings of the Workshop on Machine Learning in the New Information Age, 2000.
    • (2000) Proceedings of the Workshop on Machine Learning in the New Information Age
  • 8
    • 48749124260 scopus 로고    scopus 로고
    • Provost, J., Naive Bayes vs. Rule Learning in Classification of Email, in Artificial Intelligence Lab, University of Texas at Austin, A technical report, AI-TR-99-284.
    • Provost, J., "Naive Bayes vs. Rule Learning in Classification of Email," in Artificial Intelligence Lab, University of Texas at Austin, A technical report, AI-TR-99-284.
  • 9
    • 8344244933 scopus 로고    scopus 로고
    • ifile: An application of machine learning to e-mail filtering
    • Rennie, J., "ifile: An application of machine learning to e-mail filtering," in KDD-2000 Text Mining Workshop.
    • KDD-2000 Text Mining Workshop
    • Rennie, J.1
  • 10
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    • Sahami, M., Dumais, S., Heckerman, D., and Horvitz, E., A Bayesian approach to filtering junk email, in AAAI Workshop on Learning for Text Categorization, 1998, AAAI Technical Report WS-98-05.
    • Sahami, M., Dumais, S., Heckerman, D., and Horvitz, E., "A Bayesian approach to filtering junk email," in AAAI Workshop on Learning for Text Categorization, 1998, AAAI Technical Report WS-98-05.
  • 14
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    • 〈http://www.spamlaws.com/〉June 2004.
    • (2004)
  • 15
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    • Spam Doubles, Finding New Ways to Deliver Itself
    • December 6, 2006
    • Brad Stone, "Spam Doubles, Finding New Ways to Deliver Itself," New York Times, Late Edition - Final, Section A, Page 1, Column 2, December 6, 2006. http://select.nytimes.com/gst/abstract.html?res= F10812FD3D550C758CDDAB0994DE404482
    • New York Times, Late Edition - Final, Section A, Page 1, Column , vol.2
    • Stone, B.1
  • 16
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    • http://www.spamfo.co.uk/component/option,com_content/task,view/id,291
    • http://www.spamfo.co.uk/component/option,com_content/task,view/id,291


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.