AISEC: An Artificial Immune System for E-mail Classification

Secker, Andrew D. and Freitas, Alex A. and Timmis, Jon (2003) AISEC: An Artificial Immune System for E-mail Classification. In: Sarker, Ruhul Amin and Reynolds, R. and Abbass, Hussein Aly and Kay-Chen, T. and McKay, R. and Essam, D. and Gedeon, T., eds. IEEE Congress on Evolutionary Computation. IEEE, Canberra. Australia pp. 131-139. ISBN 0-7803-7804-0 . (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

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http://www.cs.kent.ac.uk/pubs/2003/1759

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 nave Bayesian classifier and it is shown that the proposed system performs as well as the nave Bayesian system and has a great potential for augmentation

Item Type: Conference or workshop item (Paper)
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Faculties > Science Technology and Medical Studies > School of Computing > Applied and Interdisciplinary Informatics Group
Depositing User: Mark Wheadon
Date Deposited: 24 Nov 2008 18:00
Last Modified: 17 Jul 2014 13:41
Resource URI: https://kar.kent.ac.uk/id/eprint/13865 (The current URI for this page, for reference purposes)
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