Handbook of research on machine learning innovations and trends

Gaber, T ORCID: https://orcid.org/0000-0003-4065-4191 and Hassanien, AE 2017, Handbook of research on machine learning innovations and trends , IGI Global, Hershey.

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Abstract

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

Item Type: Book
Schools: Schools > School of Computing, Science and Engineering > Salford Innovation Research Centre
Publisher: IGI Global
ISBN: 9781522522300
Related URLs:
Depositing User: Dr. Tarek Gaber
Date Deposited: 19 Sep 2019 14:17
Last Modified: 23 Sep 2019 10:49
URI: http://usir.salford.ac.uk/id/eprint/52390

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