e-ISSN : 0975-3397
Print ISSN : 2229-5631
Home | About Us | Contact Us

ARTICLES IN PRESS

Articles in Press

ISSUES

Current Issue
Archives

CALL FOR PAPERS

CFP 2021

TOPICS

IJCSE Topics

EDITORIAL BOARD

Editors

Indexed in

oa
 

ABSTRACT

Title : Spam Classification using new kernel function in Support Vector Machine
Authors : Surendra Kumar Rakse, Sanyam Shukla
Keywords : Spam Filtering, SVM, Kernel Functions
Issue Date : August 2010
Abstract :
Due to the increase in internet users, there is a rapid growth in spam e-mails. In recent years, kernel function have received major attention, particularly due to the increased popularity of Support Vector Machine. It is a best classifier for binary classification. Kernel functions are used to map data into high dimensional feature space. In this paper a new kernel function is developed called Cauchy kernel, and performance is evaluated over ECML-PKDD dataset and compared with the predefined kernel functions. The experiment shows that the results are better than predefined kernel functions.
Page(s) : 1819-1823
ISSN : 0975–3397
Source : Vol. 2, Issue.5

All Rights Reserved © 2009-2024 Engg Journals Publications
Page copy protected against web site content infringement by CopyscapeCreative Commons License