AISEC: an artificial immune system for e-mail classification

被引：59

作者：

Secker, A ^{[1
]}

Freitas, AA ^{[1
]}

Timmis, J ^{[1
]}

机构：

[1] Univ Kent, Comp Lab, Canterbury CT2 7NF, Kent, England

来源：

CEC: 2003 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-4, PROCEEDINGS | 2003年

关键词：

D O I：

10.1109/CEC.2003.1299566

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

With the increase in information on the Internet, the strive to rind 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.

引用

页码：131 / 138

页数：8