| Publisher | University of Trento | ||
|---|---|---|---|
| Format | 544.9KB PDF | Date added | 11 Jan 2008 |
| Topics | Email, Spam - E-mail Fraud - Phishing | ||
| Downloads | 7 | ||
Email spam is one of the major problems of the today's Internet, bringing financial damage to companies and annoying individual users. Among the approaches developed to stop spam, filtering is an important and popular one. This paper gives an overview of the state of the art of machine learning applications for spam filtering, and of the ways of evaluation and comparison of different filtering methods. They also provide a brief description of other branches of anti-spam protection and discuss the use of various approaches in commercial and noncommercial anti-spam software solutions.
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