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CSTSDE21238
Classifiers based on Bayesian theorem have been very effective in Spam filtering due to their strong categorization ability and high precision. This paper proposes an algorithm for email classification based on Bayesian theorem. The purpose is to automatically classify mails into predefined categories. The algorithm assigns an incoming mail to its appropriate category by checking its textual contents. The experimental results depict that the proposed algorithm is reasonable and effective method for email classification.
Denil Vira. 2012. \u201cAn Approach to Email Classification Using Bayesian Theorem\u201d. Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 12 (GJCST Volume 12 Issue C13): .
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
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Total Score: 108
Country: India
Subject: Global Journal of Computer Science and Technology - C: Software & Data Engineering
Authors: Dr. Denil Vira, Pradeep Raja, Shidharth Gada (PhD/Dr. count: 1)
View Count (all-time): 258
Total Views (Real + Logic): 10122
Total Downloads (simulated): 2525
Publish Date: 2012 09, Thu
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Classifiers based on Bayesian theorem have been very effective in Spam filtering due to their strong categorization ability and high precision. This paper proposes an algorithm for email classification based on Bayesian theorem. The purpose is to automatically classify mails into predefined categories. The algorithm assigns an incoming mail to its appropriate category by checking its textual contents. The experimental results depict that the proposed algorithm is reasonable and effective method for email classification.
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