Anti-spam techniques based on artificial immune system

ntroducing research on anti-spam techniques based on the artificial immune system (AIS) to identify and filter spam, this authoritative book provides a centralized source of detailed information on efficient models and algorithms of AIS-based anti-spam techniques

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Bibliographic Details
Main Author: Tan, Ying 1964- (Author)
Format: Book
Language:English
Published: Boca Raton, FL CRC Press 2016
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Table of Contents:
  • 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