AISEC: An artificial immune system for e-mail classification

Andrew Secker, Alex A. Freitas, Jon Timmis

Research output: Contribution to conferencePaperpeer-review

81 Citations (SciVal)

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

Original languageEnglish
Pages131-138
Number of pages8
DOIs
Publication statusPublished - 2003
Event2003 Congress on Evolutionary Computation, CEC 2003 - Canberra, ACT, Australia
Duration: 08 Dec 200312 Dec 2003

Conference

Conference2003 Congress on Evolutionary Computation, CEC 2003
Country/TerritoryAustralia
CityCanberra, ACT
Period08 Dec 200312 Dec 2003

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