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. The 2003 Congress on Evolutionary Computation. IEEE, pp. 131-139. ISBN 0-7803-7804-0. (doi:10.1109/CEC.2003.1299566) (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) (KAR id:13865)

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.
Official URL: http://dx.doi.org/10.1109/CEC.2003.1299566

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:	Book section
DOI/Identification number:	10.1109/CEC.2003.1299566
Uncontrolled keywords:	artificial immune systems; electronic mail; laboratories; Bayesian methods; web mining; data mining; shape; internet; pathogens
Subjects:	Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions:	Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Funders:	Institute of Electrical and Electronics Engineers (https://ror.org/01n002310)
Depositing User:	Mark Wheadon
Date Deposited:	24 Nov 2008 18:00 UTC
Last Modified:	12 Jul 2022 10:39 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/13865 (The current URI for this page, for reference purposes)

University of Kent Author Information

Secker, Andrew D..

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Freitas, Alex A..

Creator's ORCID:	https://orcid.org/0000-0001-9825-4700
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