Handbook of Research on Machine Learning Innovations and Trends

Description

Continuous improvements in technological applications have allowed more opportunities to develop automated systems. This not only leads to higher success in smart data analysis, but it increases the overall probability of technological progression.

The 

Handbook of Research on Machine Learning Innovations and Trends

 is a key resource on the latest advances and research regarding the vast range of advanced systems and applications involved in machine intelligence. Highlighting multidisciplinary studies on decision theory, intelligent search, and multi-agent systems, this publication is an ideal reference source for professionals and researchers working in the field of machine learning and its applications.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Chaos Theory
  • Chaotic Systems
  • Decision Theory
  • Fuzzy Logic
  • Granular Computing
  • Intelligent Search
  • Multi-Agent Systems
  • Web Mining