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Spam Filtering using SVM with different Kernel Functions
| 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
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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