Comparative Analysis of Spam Detection Algorithms |
Author(s): |
| Utkarsh Tyagi , Bharati Vidyapeeth College of Engineering; Sudeep Sharma, Bharati Vidyapeeth College of Engineering; Shriti Raj, Bharati Vidyapeeth College of Engineering; Achin Jain, Bharati Vidyapeeth College of Engineering |
Keywords: |
| Machine Learning, Spam Mails, Ham Mails Classification, Support Vector Machines |
Abstract |
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Now-a-days, E-mailing has proved to be one of the most important way of communication. There is a growth in number of Email messages that are being sent and received world-wide. Increase in the number of Emails also increases their vulnerabilities towards spam mails which tend to time wastage of users as well as wastage of bandwidth. Machine Learning techniques are widely used in Detection and Filtration of Spam mails. In this paper, we have evaluated the probabilities of spam and ham Emails using various spam detection algorithms. |
Other Details |
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Paper ID: IJSRDV5I30107 Published in: Volume : 5, Issue : 3 Publication Date: 01/06/2017 Page(s): 513-515 |
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