An Approach to Email Classification Using Bayesian Theorem

Article ID

CSTSDE21238

An Approach to Email Classification Using Bayesian Theorem

Dr. Denil Vira
Dr. Denil Vira
Pradeep Raja
Pradeep Raja
Shidharth Gada
Shidharth Gada
DOI

Abstract

Email 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.

An Approach to Email Classification Using Bayesian Theorem

Email 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.

Dr. Denil Vira
Dr. Denil Vira
Pradeep Raja
Pradeep Raja
Shidharth Gada
Shidharth Gada

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Denil Vira. 2012. “. Global Journal of Computer Science and Technology – C: Software & Data Engineering GJCST-C Volume 12 (GJCST Volume 12 Issue C13): .

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Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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GJCST Volume 12 Issue C13
Pg. 57- 60
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An Approach to Email Classification Using Bayesian Theorem

Dr. Denil Vira
Dr. Denil Vira
Pradeep Raja
Pradeep Raja
Shidharth Gada
Shidharth Gada

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