An innovative analyser for email classification based on grey list analysis

Proceedings - 2007 IFIP International Conference on Network and Parallel Computing Workshops, NPC 2007

Volumn , Issue , 2007, Pages 176-182

  Islam, Md Rafiqul ^a   Zhou, Wanlei ^a  

^a DEAKIN UNIVERSITY   (Australia)

Author keywords

Email; FP; GL; Spam; TN; TP

Indexed keywords

CLASSIFICATION (OF INFORMATION); DECISION MAKING; INTERNET; LEARNING ALGORITHMS; LEARNING SYSTEMS; PARALLEL PROCESSING SYSTEMS; SPAMMING; TURBULENT FLOW;

CLASSIFICATION ALGORITHMS; E-MAIL CLASSIFICATION; EXISTING SYSTEMS; FALSE POSITIVE (FP); INTEGRATED MODELLING; INTERNATIONAL CONFERENCES; MULTIPLE CLASSIFIERS; PARALLEL COMPUTING; SPAM DETECTION; STATISTICAL LEARNING; TRUE NEGATIVE; TRUE POSITIVE;

ELECTRONIC MAIL;

EID: 47849089021     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNPCW.2007.4351481     Document Type: Conference Paper

References (9)

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8. Islam, M. and Zhou, W. (2007). "Architecture of Adaptive Spam Filtering Based on Machine Learning Algorithms" Springer-Verlag, ICA3PP 2007, LNCS 4494, 2007, pp. 458-46.
9. Androutsopoulos, I. et. al,. Learning to Filter Unsolicited Commercial Email. NCRS, T. Report, 2004.