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Reseach Article

Spam Filtering using SVM with different Kernel Functions

by Deepak Kumar Agarwal, Rahul Kumar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 136 - Number 5
Year of Publication: 2016
Authors: Deepak Kumar Agarwal, Rahul Kumar
10.5120/ijca2016908395

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 },
issue_date = { February 2016 },
volume = { 136 },
number = { 5 },
month = { February },
year = { 2016 },
issn = { 0975-8887 },
pages = { 16-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume136/number5/24149-2016908395/ },
doi = { 10.5120/ijca2016908395 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:36:12.642468+05:30
%A Deepak Kumar Agarwal
%A Rahul Kumar
%T Spam Filtering using SVM with different Kernel Functions
%J International Journal of Computer Applications
%@ 0975-8887
%V 136
%N 5
%P 16-23
%D 2016
%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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Index Terms

Computer Science
Information Sciences

Keywords

Spam-filtering Support Vector Machine Kernel-functions