Emails classification by data mining techniques
Mohammed Abdullah Naser, Athar H. Mohammed · Journal of University of Babylon for Pure and Applied Sciences · 2014
Electronic mail messages have become increasingly important and widespread method of communication because of its time speed ,where the amount of email messages received per day can range from tens for a regular user to thousands for companies. Nowadays; The spam mail messages are mainly a illegal form where thousands of users are easily reachable. This type of emails has become a serious problem. In this paper was proposed a method of classifying emails using the concept of association rules.