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Volumn , Issue , 2011, Pages

Spam classification based on supervised learning using machine learning techniques

Author keywords

FBL; J48; Machine learning; MLP; Naive bayesian; Spam classification

Indexed keywords

FBL; J48; MACHINE-LEARNING; MLP; NAIVE BAYESIAN; SPAM CLASSIFICATION;

EID: 80052255011     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PACC.2011.5979035     Document Type: Conference Paper
Times cited : (31)

References (8)
  • 3
    • 84904808498 scopus 로고    scopus 로고
    • Observed trends in spam construction techniques: A case study of spam evolution
    • C. Pu and S. Webb. 2006. Observed trends in spam construction techniques: A case study of spam evolution. In Proc. of the 3rd Conf. on EMail and Anti-Spam.
    • (2006) Proc. of the 3rd Conf. on EMail and Anti-Spam
    • Pu, C.1    Webb, S.2
  • 8
    • 38449121482 scopus 로고    scopus 로고
    • Discovering data dependencies in web content mining
    • José C. Cortizo., " Discovering Data Dependencies In Web Content Mining" Iadis International Conference Www/Internet 2004.
    • (2004) Iadis International Conference
    • Cortizo, J.C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.