文章基本信息

标题：Spam Classification using new kernel function in Support Vector Machine
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作者：Surendra Kumar Rakse ; Sanyam Shukla
期刊名称：International Journal on Computer Science and Engineering
印刷版ISSN：2229-5631
电子版ISSN：0975-3397
出版年度：2010
卷号：2
期号：5
页码：1819-1823
出版社：Engg Journals Publications
摘要：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.
关键词：Spam Filtering; SVM; Kernel Functions