AISEC: An artificial immune system for e-mail classification

Andrew Secker, Alex A. Freitas, Jon Timmis

Allbwn ymchwil: Cyfraniad at gynhadleddPapuradolygiad gan gymheiriaid

81 Dyfyniadau(SciVal)

Crynodeb

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.

Iaith wreiddiolSaesneg
Tudalennau131-138
Nifer y tudalennau8
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 2003
Digwyddiad2003 Congress on Evolutionary Computation, CEC 2003 - Canberra, ACT, Awstralia
Hyd: 08 Rhag 200312 Rhag 2003

Cynhadledd

Cynhadledd2003 Congress on Evolutionary Computation, CEC 2003
Gwlad/TiriogaethAwstralia
DinasCanberra, ACT
Cyfnod08 Rhag 200312 Rhag 2003

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