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Anti-spam techniques based on artificial immune system
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| 概要 | Email has become an indispensable communication tool in daily life. However, high volumes of spam waste resources, interfere with productivity, and present severe threats to computer system security a...nd personal privacy. This book introduces research on anti-spam techniques based on the artificial immune system (AIS) to identify and filter spam. It provides a single source of all anti-spam models and algorithms based on the AIS that have been proposed by the author for the past decade in various journals and conferences. Inspired by the biological immune system, the AIS is an adaptive system based on theoretical immunology and observed immune functions, principles, and models for problem solving. Among the variety of anti-spam techniques, the AIS has been highly effective and is becoming one of the most important methods to filter spam. The book also focuses on several key topics related to the AIS, including: extraction methods inspired by various immune principles, construction approaches based on several concentration methods and models, classifiers based on immune danger theory, the immune-based dynamic updating algorithm, and implementing AIS-based spam filtering systems. The book also includes several experiments and comparisons with state-of-the-art anti-spam techniques to illustrate the excellent performance AIS-based anti-spam techniques. Anti-Spam Techniques Based on Artificial Immune System gives practitioners, researchers, and academics a centralized source of detailed information on efficient models and algorithms of AIS-based anti-spam techniques. It also contains the most current information on the general achievements of anti-spam research and approaches, outlining strategies for designing and applying spam-filtering models.続きを見る |
| 目次 | Anti-Spam Technologies Artificial Immune System Term Space Partition-Based Feature Construction Approach Immune Concentration-Based Feature Construction Approach Local Concentration-Based Feature Extraction Approach Multi-Resolution Concentration-Based Feature Construction Approach Adaptive Concentration Selection Model Variable Length Concentration-Based Feature Construction Method Parameter Optimization of Concentration-Based Feature Construction Approaches Immune Danger Theory-Based EnsembleMethod Immune Danger Zone Principle-Based Dynamic Learning Method Immune-Based Dynamic Updating Algorithm AIS-Based Spam Filtering System and Implementation.続きを見る |
| アクセス注記 | Taylor & Francis eBooks DRM Free Collection トライアル中(2023/3/31まで利用可能) 【Trial】This title is available until March 31, 2023. |
| 本文を見る | Taylor & Francis eBooks DRM Free Collection: 2016 |
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| 登録日 | 2023.01.20 |
| 更新日 | 2023.01.20 |