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Volumn , Issue , 2000, Pages 99-102

Combining text and heuristics for cost-sensitive spam filtering

Author keywords

[No Author keywords available]

Indexed keywords

COSTS; LEARNING ALGORITHMS; MACHINE LEARNING;

EID: 84870005304     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (34)

References (10)
  • 1
    • 0043157171 scopus 로고    scopus 로고
    • Learning to filter spam e-mail: A comparison of a naive bayesian and a memory-based approach
    • Technical Report DEMO 2000/5, Inst. of Informatics and Telecommunications, NCSR Demokritos, Athens, Greece
    • I. Androutsopoulos, G. Paliouras, V. Karkaletsis, G. Sakkis, C.D. Spyropoulos, and P. Stamatopoulos. 2000. Learning to filter spam e-mail: A comparison of a naive bayesian and a memory-based approach. Technical Report DEMO 2000/5, Inst. of Informatics and Telecommunications, NCSR Demokritos, Athens, Greece.
    • (2000)
    • Androutsopoulos, I.1    Paliouras, G.2    Karkaletsis, V.3    Sakkis, G.4    Spyropoulos, C.D.5    Stamatopoulos, P.6
  • 6
    • 8344223268 scopus 로고    scopus 로고
    • Technical Report Dept. of Computer Sciences at the U. of Texas at Austin
    • Jefferson Provost. 1999. Naive-bayes vs. rule-learning in classification of email. Technical Report available at http://www.cs.utexas.edu/users/jp/research/, Dept. of Computer Sciences at the U. of Texas at Austin.
    • (1999) Naive-bayes vs. rule-learning in classification of email
    • Provost, Jefferson1
  • 10
    • 27144441097 scopus 로고    scopus 로고
    • An evaluation of statistical approaches to text categorization
    • Yiming Yang. 1999. An evaluation of statistical approaches to text categorization. Information Retrieval, 1(1-2).
    • (1999) Information Retrieval , vol.1 , Issue.1-2
    • Yang, Yiming1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.