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Two Pass Spam Filter using Origin and Bayesian Approach

Rashmi Gupta, Nitin Rola

Abstract


In recent years one cheap and reliable communication medium Email is growing and use of it reached beyond the limit, but it has created one huge problem that is of spam(junk) Email. Solution of this spam is construction of automatic filtering system which eliminates unwanted mails. Bayesian approach is common and efficient for doing this task. Bayesian approach is nothing but casting the problem of removal of Junk Email into decision theoretic framework. At first glance it seems to be simple text classification problem, but right now many researches are going on the same because cost of misclassification of the legitimate to Junk is very high. Here we have considered A Bayesian Approach for filtering Junk Email. A Bayesian Approach is classifying mail by checking its content and it is very time consuming process. So, to improve performance of spam filter here we filter the spam by origin and its content using Bayesian approach.

Keywords


Bayesian, Origin of Mail, Text Classification, Spam Filer

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References


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