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Improving spam classification by means of prototype selection ensembles

Spam mail is one of the disadvantages of e-mail application. This problem annoys recipient, taking their time, as well as wasting network bandwidth. From this reason, SPAM classification is a realistic problem which we need to consider. Furthermore, modeling a system which automatically classifies spam email from our list of emails has become important. |