Adaptive approach for spam detection
Spam has emerged as a major problem in recent years. The most widely recognized form of spam, is email spam. The accounts which contain spam messages must waste time deleting annoying and possibly offensive message. In this paper, we present a variety of machine learning algorithms to identify spam in e-mail accounts.
Keywords: Machine Learning, NumericToBinary Filter, Spam Detection, Weka.
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ABOUT THE AUTHORS
Sumant Sharma
Student, Department of Computer Science
Amit Arora
Assistant Professor, Department of Computer Science
Sumant Sharma
Student, Department of Computer Science
Amit Arora
Assistant Professor, Department of Computer Science
