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Bayesian Spam Filtering Using Statistical Data Compression

§ Sir. C. R. REDDY COLLEGE OF ENGG, ELURU
‡ Jawaharlal Nehru Technological University, Kakinada

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Bayesian Spam Filtering Using Statistical Data Compression

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Abstract

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.

References

9 Cites in Article
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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. GUMPINA V V SATYA PRASAD, Satya P Kumar Somayajula. 2011. "Bayesian Spam Filtering Using Statistical Data Compression". Global Journal of Research in Engineering - I: Numerical Methods GJRE-I Volume 11 (GJRE Volume 11 Issue I7).

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Keywords
Classification
GJRE-I Classification FOR Code: 010303
Version of record
v1.2

Issue date
December 28, 2011

Language
English
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Bayesian Spam Filtering Using Statistical Data Compression

Dr. PRASAD
Dr. PRASAD Sir. C. R. REDDY COLLEGE OF ENGG, ELURU
<p>Jawaharlal Nehru Technological University, Kakinada</p>