Spam Filter Method Based on Discriminative Model
Yuhui Yang · Computer Technology and Development · 2010
Spam e-mail is increasingly becoming a great problem in the Internet age.As the latest generation of spam incorporates sophisticated tactics,previous spam filtering technologies face a new challenge.Proposed a novel online spam filter based on discriminative model.Spam classifier updates the weights of features by continual learning.When a new message arrives,compute the sum of all weights and convert it to a probability.If that probability is over some threshold,predict that the message is spam,then applied the technique to online processing environment.Experimental results demonstrate that it can significantly raise the filtering accuracy,effectively reduce false positives.