Secker, A. and Freitas, A.A. and Timmis, Jon (2003) AISEC: An Artificial Immune System for E-mail Classification. In: Sarker, R. and Reynolds, R. and Abbass, H.A. 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 .
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| Official URL 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 (UNSPECIFIED) |
|---|---|
| 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: | 04 Mar 2013 14:41 |
| Resource URI: | http://kar.kent.ac.uk/id/eprint/13865 (The current URI for this page, for reference purposes) |
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