The paper describes an implementation of the Bayesian spam filter. Paper progresses from the manual spam filtering mechanisms to intelligent filtering mechanisms through a mathematical foundation built in midway. This mainly focuses on the attacks on the filter and the minimization of false positives through statistical learning.
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The paper describes an implementation of the Bayesian spam filter. Paper progresses from the manual spam filtering mechanisms to intelligent filtering mechanisms through a mathematical foundation built in midway. This mainly focuses on the attacks on the filter and the minimization of false positives through statistical learning.