global-journal-of-research-in-engineering-i-numerical-methods Global Journal of Research in Engineering - I: Numerical Methods 0975-5861 2249-4596 Global Journals Publishing Group Incorporated 73677 Bayesian Spam Filtering Using Statistical Data Compression PRASADDr. GUMPINA V V SATYA INDIA, Sir. C. R. REDDY COLLEGE OF ENGG, ELURU 07 12 2011 11 I7 5 7

The Spam e-mail has become a major problem for companies and private users. This paper associated with spam and some different approaches attempting to deal with it. The most appealing methods are those that are easy to maintain and prove to have a satisfactory performance. Statistical classifiers are such a group of methods as their ability to filter spam is based upon the previous knowledge gathered through collected and classified e-mails. A learning algorithm which uses the Naive Bayesian classifier has shown promising results in separating spam from legitimate mail.

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The Spam e-mail has become a major problem for companies and private users. This paper associated with spam and some different approaches attempting to deal with it. The most appealing methods are those that are easy to maintain and prove to have a satisfactory performance. Statistical classifiers are such a group of methods as their ability to filter spam is based upon the previous knowledge gathered through collected and classified e-mails. A learning algorithm which uses the Naive Bayesian classifier has shown promising results in separating spam from legitimate mail.