INTEGRATION OF FEATURE SETS WITH MACHINE LEARNING TECHNIQUES FOR SPAM FILTERING
A. Princy Christy · 2011
In this era of Information Technology, Internet is emerging at a rapid pace and it is playing a major role in the field of communication, business, economy, entertainment and social groups all over the globe. E-mail is the most preferred tool for communication as it is easy to use, easy to prioritize, easier for reference, secure and reliable. As emails are so important for all the computer savvy people, email privacy has become an equally important concern. This paper proposes a novel approach for spam filtering using selective feature sets combined with machine learning techniques and the results shows that approach has produced less number of false positives.