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oaioai:invenio.nusl.cz:237087

Artificial Immune Systems for Spam Detection

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Publication date
1 January 2011
Publisher
Vysoké učení technické v Brně. Fakulta informačních technologií

Abstract

This work deals with creating a hybrid system based on the aggregation of artificial immune system with appropriate heuristics to make the most effective spam detection. This work describes the main principles of biological and artificial immune system and conventional techniques to detect spam including several classifiers. The developed system is tested using well known database corpuses and a comparison of the final experiments is made

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National Repository of Grey Literature

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oaioai:invenio.nusl.cz:237087
Last time updated on 10/08/2016

This paper was published in National Repository of Grey Literature.

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