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Spam filtering using classification algorithms

thesis
posted on 2008-01-01, 00:00 authored by M. Rafiqul. Islam
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.

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Pagination

xxi, 195 leaves ; 30 cm.

Material type

thesis

Resource type

thesis

Language

eng

Notes

Thesis (Ph.D.)--Deakin University, Victoria, 2008.

Degree name

Ph.D.

Faculty

Faculty of Science

School

Engineering and Built Environment

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