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Spam filtering using classification algorithms
thesisposted 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.