A machine learning approach to server-side anti-spam e-mail filtering
Spam-detection systems based on traditional methods have several obvious disadvantages like low detection rate, necessity of regular knowledge bases’ updates, impersonal filtering rules. New intelligent methods for spam detection, which use statistical and machine learning algorithms, solve these...
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| Date: | 2006 |
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| Main Authors: | , , , |
| Format: | Article |
| Language: | English |
| Published: |
Інститут програмних систем НАН України
2006
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| Subjects: | |
| Online Access: | http://dspace.nbuv.gov.ua/handle/123456789/1564 |
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| Journal Title: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| Cite this: | A machine learning approach to server-side anti-spam e-mail filtering / I. Mashechkin, M. Petrovskiy, A. Rozinkin, S. Gerasimov // Проблеми програмування. — 2006. — N 2-3. — С. 216-220. — Бібліогр.: 13 назв. — англ. |