E-MAIL SPAM DETECTION USING LAZY ASSOCIATIVE APPROACH AND NA?VE BAYE?S FILTERING.

Email is one of the most modern and widely used means of communication nowadays, mainly due to its efficiency, low cost, and compatibility of diversified types of information. However, spammers are continuously crawling the Web for email addresses available at Web pages, so that more and more and more people can be reached, thus eroding away much of the attractiveness of email communication. Not only Spam frustrating for most email users, it strains the IT infrastructure of organizations and costs businesses billions of dollars in lost productivity. The proposed approach discovers patterns hidden in the message, and then it builds a classification model by exploring the associations among the discovered patterns.