Research Article
Spam Filtering using SVM with different Kernel Functions
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 136 - Issue 5 |
| Published: February 2016 |
| Authors: Deepak Kumar Agarwal, Rahul Kumar |
10.5120/ijca2016908395
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Deepak Kumar Agarwal, Rahul Kumar . Spam Filtering using SVM with different Kernel Functions. International Journal of Computer Applications. 136, 5 (February 2016), 16-23. DOI=10.5120/ijca2016908395
@article{ 10.5120/ijca2016908395,
author = { Deepak Kumar Agarwal,Rahul Kumar },
title = { Spam Filtering using SVM with different Kernel Functions },
journal = { International Journal of Computer Applications },
year = { 2016 },
volume = { 136 },
number = { 5 },
pages = { 16-23 },
doi = { 10.5120/ijca2016908395 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2016
%A Deepak Kumar Agarwal
%A Rahul Kumar
%T Spam Filtering using SVM with different Kernel Functions%T
%J International Journal of Computer Applications
%V 136
%N 5
%P 16-23
%R 10.5120/ijca2016908395
%I Foundation of Computer Science (FCS), NY, USA
Abstract
The growing volume of unwanted bulk e-mail (also known as junk-mail or spam) has generated a need for trustworthy anti-spam filters. Now a day, many Machine learning techniques have been used which are robotically filter the junk e-mail in much unbeaten rate. In this paper, we used one of the most popular machine learning Algorithm support vector machine (SVM) with different parameters using different kernel-functions (linear, polynomial, RBF, sigmoid) are implemented on spambase-dataset. Comparison of SVM performance for all kernels (linear, polynomial, RBF, sigmoid) using different parameters (C-SVC, NU-SVC) evaluated on spambase-dataset to get best accuracy.
References
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