SPAM CLASSIFICATION USING SUPERVISED LEARNING TECHNIQUES (Conference Paper)

Abstract

Spam message is one of the major problems in today's Internet, which brings financial damage to companies and annoying individual users. Spam filtering is able to control the problem in a variety of ways. Many researches in spam filtering have been centered on the classifier-related issues. Currently, machine learning for spam classification is an important research issue at present. This paper explores and identifies the use of different machine learning algorithms for classifying spam messages from e-mail. Finally, a comparative analysis among the algorithms has also been presented with spam classification.