An Efficient Email Spam Detection using Support Vector Machine

  • et al.
N/ACitations
Citations of this article
6Readers
Mendeley users who have this article in their library.
Get full text

Abstract

This research paper proposes the electronics mail is small known as E-mail is used for communication between the people to person. E mail is providing as an necessary contribution for messaging by internet. Spam e mails are the unwanted messages that arise in high volume and are used by spammers for revealing users personal credentials. These e mails are regularly some sort of company/control announcement or viruses that the user receive without any notification. So as to defeat it, there need aid exactly existing frameworks that still don't keep them from striking. Therefore, there is a require should manufacture and proficient framework that adequately detects and more keeps the spam messages In those server utilizing the Naïve bayes classifier. Naïve bayes classifier is a mainstream statistical classifier utilized fundamentally for content arrangement.

Cite

CITATION STYLE

APA

Prasanthi*, K. S., Deepika, T., … Koushik, M. S. (2019). An Efficient Email Spam Detection using Support Vector Machine. International Journal of Innovative Technology and Exploring Engineering, 9(2), 5258–5262. https://doi.org/10.35940/ijitee.b9001.129219

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free