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.

DOI: 10.1109/CEC.2003.1299566

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@inproceedings{Secker2003AISECAA, title={AISEC: an artificial immune system for e-mail classification}, author={Andrew Secker and Alex Alves Freitas and Jonathan Timmis}, booktitle={IEEE Congress on Evolutionary Computation}, year={2003} }