AISEC: an artificial immune system for e-mail classification

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

• Type: Conference
• Year: 2003
• Where: CEC
• Authors: Andrew Secker, Alex Alves Freitas, Jon Timmis
• Keywords: Algorithm Called Aisec, Artificial Intelligence, Biological Immune System, CEC 2003, Naive Bayesian Classifier