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Now-a-days, mailbox management has become a big task. A large proportion of the emails the authors receive are spam. These unwanted emails clog the inbox and are very ubiquitous. Here, a new technique for spam detection is presented that makes use of clustering and association rules generated by the Apriori algorithm. Vector space notation is used to represent the emails. The results obtained from experiments conducted on the ling-spam dataset demonstrate the effectiveness of the proposed technique.
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