Advances in Complex Decision Making: Using Machine Learning and Tools for Service-Oriented Computing - Tapa blanda

 
9781032375267: Advances in Complex Decision Making: Using Machine Learning and Tools for Service-Oriented Computing

Sinopsis

This book provides a comprehensive overview of machine learning algorithms and examines their application in complex decision-making systems in a service-oriented framework.

 

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Acerca del autor

Walayat Hussain received his PhD in Computer Science from the University of Technology Sydney, Australia. Currently, he is the Head of the Information Technology Discipline at the PFBS, Australian Catholic University, Australia. His current research interests are cloud/edge computing, business intelligence, decision-support systems, AI and machine learning.

Honghao Gao is currently with the School of Computer Engineering and Science, Shanghai University, China. He is also a professor at the College of Future Industry, Gachon University, Korea. His research interests include software security, cloud/edge computing, intelligent data processing and AI4Healthcare. Prof. Gao is a fellow of the Institution of Engineering and Technology (IET) and a fellow of the British Computer Society (BCS).

Fethi Rabhi received a PhD in Computer Science at the University of Sheffield in 1990. He is a professor at the School of Computer Science and Engineering at the University of New South Wales in Australia, specialising in software engineering applied to Business Applications.

Luis Martínez received MSc and PhD degrees in Computer Sciences, both from the University of Granada, Spain. He is a full professor in the Department of Computer Science at the University of Jaén. His current research interests are fuzzy decision making, fuzzy systems, decision-support systems, computing with words and recommender systems.

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9781032375274: Advances in Complex Decision Making: Using Machine Learning and Tools for Service-Oriented Computing

Edición Destacada

ISBN 10:  1032375272 ISBN 13:  9781032375274
Editorial: Chapman and Hall/CRC, 2023
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