This book presents recent advancements in research, a review of new methods and techniques, and applications in decision support systems (DSS) with Machine Learning and Probabilistic Graphical Models, which are very effective techniques in gaining knowledge from Big Data and in interpreting decisions. It explores Bayesian network learning, Control Chart, Reinforcement Learning for multicriteria DSS, Anomaly Detection in Smart Manufacturing with Federated Learning, DSS in healthcare, DSS for supply chain management, etc. Researchers and practitioners alike will benefit from this book to enhance the understanding of machine learning, Probabilistic Graphical Models, and their uses in DSS in the context of decision making with uncertainty. The real-world case studies in various fields with guidance and recommendations for the practical applications of these studies are introduced in each chapter.
eBook - ePub
Machine Learning and Probabilistic Graphical Models for Decision Support Systems
- 318 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Machine Learning and Probabilistic Graphical Models for Decision Support Systems
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Table of contents
- Cover
- Title Page
- Copyright Page
- Preface
- Contents
- Acronyms
- Chapter 1 Introduction to Machine Learning and Probabilistic Graphical Models for Decision Support Systems
- Chapter 2 Decision Support Systems for Healthcare based on Probabilistic Graphical Models: A Survey and Perspective
- Chapter 3 Decision Support Systems for Anomaly Detection with the Applications in Smart Manufacturing: A Survey and Perspective
- Chapter 4 Decision Support System for Complex Systems Risk Assessment with Bayesian Networks
- Chapter 5 Decision Support System using LSTM with Bayesian Optimization for Predictive Maintenance: Remaining Useful Life Prediction
- Chapter 6 Decision Support Systems for Textile Manufacturing Process with Machine Learning
- Chapter 7 Anomaly Detection Enables Cybersecurity with Machine Learning Techniques
- Chapter 8 Machine Learning for Compositional Data Analysis in Support of the Decision Making Process
- Chapter 9 Decision Support System with Genetic Algorithm for Economic Statistical Design of Nonparametric Control Chart
- Chapter 10 Jamming Detection in Electromagnetic Communication with Machine Learning: A Survey and Perspective
- Chapter 11 Intellectual Support with Machine Learning for Decision-making in Garment Manufacturing Industry: A Review
- Chapter 12 Enabling Smart Supply Chain Management with A.jpgicial Intelligence
- Index
- About the Editor
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Yes, you can access Machine Learning and Probabilistic Graphical Models for Decision Support Systems by Kim Phuc Tran in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over 1.5 million books available in our catalogue for you to explore.