Developing E-Mail Classification by using Artificial Immune System (AISEC)

Abstract

Electronic mail is one of the primary applications of the Internet. With the increase in the use of email on the Internet, an email classification technology is increasing. In this paper, the immune based algorithm called Artificial Immune System for Email Classification (AISEC) that is capable of continuously classifying electronic mail as interesting (or) un- interesting without the need for re-training. The natural immune system exhibits many properties that are of interest to the area of web mining. Of particular interest is the dynamic nature of the immune system when compare with the dynamic nature of mining information from the web. By using AISEC algorithm, this paper is mining message that interesting and useful for every mail user depend on the using types of email. It can save a lot of time that the user need for reading and processing email.