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Aisec: An artificial immune system for e-mail classification

By Andrew Secker

Abstract

Abstract- With the increase in information on the Internet, the strive to find more effective tools for distinguishing between interesting and non-interesting material is increasing. Drawing analogies from the biological immune system, this paper presents an immune-inspired algorithm called AISEC that is capable of continuously classifying electronic mail as interesting and non-interesting without the need for re-training. Comparisons are drawn with a naïve Bayesian classifier and it is shown that the proposed system performs as well as the naïve Bayesian system and has a great potential for augmentation.

Publisher: IEEE
Year: 2003
OAI identifier: oai:CiteSeerX.psu:10.1.1.119.159
Provided by: CiteSeerX
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