Ying Tan

eBook, PDF

Anti-Spam Techniques Based on Artificial Immune System (eBook, PDF)

Beschreibung

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. It discusses key topics in AIS-based anti-spam techniques, including extraction methods, construction approaches, classifiers based on immune danger theory, and the immune-based dynamic algorithm. It also outlines strategies for designing and applying spam-filtering models.

Technische Details

• Geräte: PC
• mit Kopierschutz
• Größe: 6.67MB

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Autor

Ying Tan, PhD, is a full professor and PhD advisor in the School of Electronics Engineering and Computer Science at Peking University, China. He is also director of the Computational Intelligence Laboratory at Peking University. He received his PhD from Southeast University in Nanjing, China. His research interests include computational intelligence, swarm intelligence, data mining, machine learning, fireworks algorithm, and intelligent information processing for information security. He has published more than 280 papers, has authored or coauthored six books and more than 10 book chapters, and holds three invention patents. He is editor in chief of the International Journal of Computational Intelligence and Pattern Recognition and is an associate editor of IEEE Transactions on Cybernetics and IEEE Transactions on Neural Networks and Learning Systems. He is the general chair of the ICSI-CCI 2015 joint conference and ICSI series conference and is a senior member of the IEEE.

Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 264
• Erscheinungstermin: 5. Januar 2016
• Englisch
• ISBN-13: 9781498725194
• Artikelnr.: 44754283