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ABSTRACT: This paper proposes a new e-mail classification method based on the Artificial Immune System (AIS), which is endowed with
good diversity and self-adaptive ability by using the immune learning, immune memory, and immune recognition. In our method,
the features of spam and non-spam extracted from the training sets are combined together, and the number of false positives
(non-spam messages that are incorrectly classified as spam) can be reduced. The experimental results demonstrate that this
method is effective in reducing the false rate.
Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence, 5th International Conference on Intelligent Computing, ICIC 2009, Ulsan, South Korea, September 16-19, 2009, Proceedings; 01/2009