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Author Islam, M. Rafiqul.

Title Spam filtering using classification algorithms / by Md. Rafiqul Islam
Published [Place of publication not identified] : [publisher not identified], 2008


Location Call no. Vol. Availability
 MELB  004.692 Isl/Sfu  UNAVAILABLE C19
Description xxi, 195 leaves ; 30 cm
Summary This thesis proposes an innovative adaptive multi-classifier spam filtering model, with a grey-list analyser and a dynamic feature selection method, to overcome false-positive problems in email classification. It also presents additional techniques to minimize the added complexity. Empirical evidence indicates the success of this model over existing approaches
Notes Submitted to the School of Engineering and Information Technology of the Faculty of Science and Technology, Deakin University
Thesis (Ph.D.)--Deakin University, Victoria, 2008
Bibliography Includes bibliographical references (leaves 179-195)
Subject Spam filtering (Electronic mail)
Spam (Electronic mail) -- Prevention.
Electronic mail systems -- Standards.
Internet -- Security measures.
Genre/Form Academic theses.
Author Deakin University. Faculty of Science and Technology.
Deakin University. School of Engineering and Information Technology