An Improved Spam Detection Method with Weighted Support Vector Machine

Published: Aug 1, 2018
Abstract
Email is the most admired method of exchanging messages using the Internet. One of the intimidations to email users is to detect the spam they receive. This can be addressed using different detection and filtering techniques. Machine learning algorithms, especially Support Vector Machine (SVM), can play vital role in spam detection. We propose the use of weighted SVM for spam filtering using weight variables obtained by KFCM algorithm. The...
Paper Details
Title
An Improved Spam Detection Method with Weighted Support Vector Machine
Published Date
Aug 1, 2018
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