International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
Volume 136 - Issue 5 |
Published: February 2016 |
Authors: Deepak Kumar Agarwal, Rahul Kumar |
![]() |
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
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.