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.
|Number of pages||8|
|Publication status||Published - 2003|
|Event||2003 Congress on Evolutionary Computation, CEC 2003 - Canberra, ACT, Australia|
Duration: 08 Dec 2003 → 12 Dec 2003
|Conference||2003 Congress on Evolutionary Computation, CEC 2003|
|Period||08 Dec 2003 → 12 Dec 2003|