Spam Detection Using Association Rules and Extraction Techniques
نویسندگان
چکیده
ARTICLE INFO Spam is one of the major issue especially email spam, of the todays Internet resulting in financial damage to companies and annoying the users and managing such kind of the mailbox has become a crucial one. These unwanted emails clogs the inbox as well as can be used for various attacks which may destroy user’s information or to reveal his/her identity or data. In this paper we have presented a new technique for detecting a spam email using data mining techniques like clustering and generating association rules. Where vector space notations are used for representing the emails and the results obtained from the proposed technique’s efficiency of detecting spam emails. Keywords— Association rules, spam detection, Email spam, Text clustering Article History Received :16 th April 2016 Received in revised form :
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