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.
|Nifer y tudalennau
|Dynodwyr Gwrthrych Digidol (DOIs)
|Cyhoeddwyd - 2003
|2003 Congress on Evolutionary Computation, CEC 2003 - Canberra, ACT, Awstralia
Hyd: 08 Rhag 2003 → 12 Rhag 2003
|2003 Congress on Evolutionary Computation, CEC 2003
|08 Rhag 2003 → 12 Rhag 2003