1st Edition

Machine Learning and Probabilistic Graphical Models for Decision Support Systems

Edited By Kim Phuc Tran Copyright 2022
330 Pages 8 Color & 85 B/W Illustrations
by CRC Press

330 Pages 8 Color & 85 B/W Illustrations
by CRC Press

330 Pages 8 Color & 85 B/W Illustrations
by CRC Press

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... Read more

1. Introduction to Machine Learning and Probabilistic Graphical Models for Decision Support Systems 

Kim Phuc Tran 

2. Decision Support Systems for Healthcare based on Probabilistic Graphical Models: A Survey and Perspective 

Ali Raza, Kim Phuc Tran, Ludovic Koehl, and Shujun Li 

3. Decision Support Systems for Anomaly Detection with the Applications in Smart Manufacturing: A Survey and Perspective 

Quoc-Thông Nguyen, Tung Nhi Tran, Cédric Heuchenne and Kim Phuc Tran 

4. Decision Support System for Complex Systems Risk Assessment with Bayesian Networks 

Ayeley Tchangani 

5. Decision Support System using LSTM with bayesian optimization for Predictive Maintenance: Remaining Useful Life Prediction 

Huu Du Nguyen and Kim Phuc Tran 

6. Decision Support Systems for Textile Manufacturing Process with Machine Learning 

Zaohao Lu, Zhenglei He, Kim Phuc Tran, Sebastien Thomassey, Xianyi Zeng, and Mengna Hong 

7. Anomaly Detection Enables Cybersecurity with Machine Learning Techniques 

Truong Thu Huong, Nguyen Minh Dan, Le Anh Quang, Nguyen Xuan Hoang, Le Thanh Cong, Kieu-Ha Phung, and Kim Phuc Tran 

8. Machine Learning for Compositional Data Analysis in Support of the Decision Making Process 

Thi Thuy Van Nguyen, Cédric Heuchenne and Kim Phuc Tran 

9. Decision Support System with Genetic Algorithm for Economic Statistical Design of Nonparametric Control Chart 

Alejandro Marcos Alvarez, Cédric Heuchenne, Phuong Hanh Tran, and Alireza Faraz 

10. Jamming Detection in Electromagnetic Communication with Machine Learning: A Survey and Perspective 

Jonathan Villain, Virginie Deniau, and Christophe Gransart 

11. Intellectual Support with Machine Learning for Decision-making in Garment Manufacturing Industry: A Review 

Yanni Xu and Xiaofen Ji 

12. Enabling Smart Supply Chain Management with Artificial Intelligence 

Thi Hien Nguyen, Huu Du Nguyen, Kim Duc Tran, Dinh Duy Kha Nguyen, and Kim Phuc Tran 

Biography

Kim Phuc Tran is an Associate Professor of Artificial Intelligence and Data Science at ENSAIT & GEMTEX,
University of Lille, France, and a Senior Scientific Advisor at Dong A University, Vietnam. He obtained a Ph.D. in
Automation and Applied Informatics at the University of Nantes, and an HDR (Dr. Habil.) in Computer Science and
Automation at the University of Lille, France. His research focuses on Artificial Intelligence and applications. He has
published more than 60 papers in SCIE peer-reviewed international journals and proceedings of international conferences. He edited 3 books with Springer Nature and CRC Press, Taylor & Francis Group.