School of Computing

AISEC: An Artificial Immune System for E-mail Classification

A. Secker, A Freitas, and J. Timmis

In R. Sarker, R. Reynolds, H. Abbass, T. Kay-Chen, R. McKay, D Essam, and T. Gedeon, editors, Proceedings of the Congress on Evolutionary Computation, pages 182-196, Canberra. Australia, December 2003. IEEE.


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

Bibtex Record

author = {Secker, A. and Freitas, A and Timmis, J.},
title = {{AISEC: An Artificial Immune System for E-mail Classification}},
month = {December},
year = {2003},
pages = {182-196},
keywords = {determinacy analysis, Craig interpolants},
note = {},
doi = {},
url = {},
    publication_type = {inproceedings},
    submission_id = {10707_1071763205},
    booktitle = {Proceedings of the Congress on Evolutionary Computation},
    editor = {Sarker, R. and Reynolds, R. and Abbass, H. and Kay-Chen, T. and McKay, R. and Essam, D and Gedeon, T.},
    address = {Canberra. Australia},
    organization = {IEEE},
    refereed = {yes},

School of Computing, University of Kent, Canterbury, Kent, CT2 7NF

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Last Updated: 21/03/2014