Abstract
Proposed in this paper is a spam filtering method based on rough set theory and Bayesian classifier algorithm. First, mutual dependence model is used to extract the features of email content. Then the amount of features are reduced by deleting redundant features with little significance on filtering effect based on rough set theory, result in a input sample with reduced number of dimension. Experiments proved that this mechanism could greatly boost both the systempsilas accuracy and efficiency.
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