Spam mail templates using genetic algorithm

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dc.contributor.authorWalairacht, Aranya
dc.date.accessioned2026-08-06T09:55:35Z
dc.date.available2026-08-06T09:55:35Z
dc.date.issued2007-12-01
dc.description.abstractIn this paper, we propose a mechanism for filtering e-mails by constructing spam mail prototypes by using genetic algorithm. Keywords extracted from e-mail's subject and body are categorized by their meaning into 8 categories. The binary representation of a chromosome string having 8 genes is constructed from keywords. Genetic operations are applied to create varieties of spam mail prototypes for filtering. From the experiments, the proposed technique shows the accuracy of filtering spam mails by 87.05% in average. When comparing with the other technique liked Bayesian, the proposed technique still has higher accuracy.
dc.identifier.citationLecture Notes in Engineering and Computer Science, 137-140, 2007
dc.identifier.issn20780958
dc.identifier.other2-s2.0-84888375502
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/1707
dc.sourceLecture Notes in Engineering and Computer Science
dc.subjectE-mail filtering
dc.subjectGenetic algorithm
dc.subjectSpam mail
dc.subjectSpam template
dc.titleSpam mail templates using genetic algorithm
dc.typeConference Paper

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