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- 264pages
- Temps de lecture
- 10heures
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Focusing on innovative anti-spam techniques, this book presents research utilizing artificial immune systems (AIS) to effectively identify and filter spam. It compiles a decade's worth of the author's contributions from various journals and conferences, covering essential topics such as extraction methods, construction approaches, and classifiers informed by immune danger theory. Additionally, it details immune-based dynamic algorithms and offers strategies for developing and implementing effective spam-filtering models.
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Anti-Spam Techniques Based on Artificial Immune System, Ying Tan
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- Année de publication
- 2015
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