Adaptive Approach for Spam Detection

Provided by: International Journal of Computer Science Issues
Topic: Security
Format: PDF
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, the authors present a variety of machine learning algorithms to identify spam in e-mail accounts. They design classifier model to automatically determine spam in the accounts so that time of account holder can be saved and utilized on other work.

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