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010 a| 2022005342;

020 a| 9781032039480q| (hbk.);

020 a| 9781032039503q| (pbk.);

020 z| 9781003189886q| (ebk.);

035 a| (WaSeSS)ssj0002669669;

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050 00 a| T58.62b| .M235 2022;

082 00 a| 658.4/0382| 23/eng/20220513;

245 00 a| Machine learning and probabilistic graphical models for decision support systemsh| [electronic resource] /c| editor Kim Phuc Tran, Division of Automation and Industrial Informatics, ENSAIT, Roubaix, France.;

250 a| First edition.;

260 a| Boca Raton :b| CRC Press/Taylor & Francis Group,c| 2022.;

300 a| x, 315 pages :b| illustrations (some color) ;c| 26 cm;

504 a| Includes bibliographical references and index.;

505 2 a| Decision support systems for healthcare based on probabilistic graphical models : a survey and perspective / Ali Raza, Kim Phuc Tran, Ludovic Koehl and Shujun Li -- Decision support systems for anomaly detection with the applications in smart manufacturing : a survey and perspective / Quoc-Th©þng Nguyen, Tung Nhi Tran, C©♭dric Heuchenne and Kim Phuc Tran -- Decision support system for complex systems risk assessment with Bayesian / Ayeley Tchangani.;

506 a| Available only to authorized users.;

520 a| "This book presents recent advancements of research, new methods and techniques, and applications in decision support systems (DSS) with Machine Learning and Probabilistic Graphical Models. The book undertakes to stimulate scientific exchange, ideas, and experiences in the field of DSS applications. Researchers, postgraduate students, and practitioners alike will benefit from this book to enhance the understanding of machine learning, Probabilistic Graphical Models, and their use 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 are introduced in each chapter"--c| Provided by publisher.;

538 a| Mode of access: World Wide Web;

650 0 a| Decision support systems.=| ^A198477;

650 0 a| Decision makingx| Graphic methods.=| ^A1353;

650 0 a| Machine learning.=| ^A145211;

650 0 a| Artificial intelligencex| Industrial applications.=| ^A15394;

655 0 a| Electronic books.=| ^A491897;

700 1 a| Tran, Kim Phuc,d| 1986-?| UNAUTHORIZED;

856 40 z| Full text available from Taylor & Francis eBooksu| https://go.openathens.net/redirector/ecu.edu?url=https%3A%2F%2Fwww.taylorfrancis.com%2Fbooks%2F9781003189886;

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999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6675053-2001l| HSLELECm| HSLr| Ys| Yt| HEBKu| 12/19/2025x| EBOOKz| HERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6675053-3001l| MNETm| JMUSICr| Ys| Yt| MNESSBKu| 12/19/2025x| EBOOKz| JERESOURCE;

Machine learning and probabilistic graphical models for decision support systems / editor Kim Phuc Tran, Division of Automation and Industrial Informatics, ENSAIT, Roubaix, France.

Other author	Tran, Kim Phuc, 1986-
Format	Electronic
Edition	First edition.
Publication Info	Boca Raton : CRC Press/Taylor & Francis Group, 2022.
Description	x, 315 pages : illustrations (some color) ; 26 cm
Supplemental Content	Full text available from Taylor & Francis eBooks
Subjects	Decision support systems. Decision making--Graphic methods. Machine learning. Artificial intelligence--Industrial applications.

Partial contents	Decision support systems for healthcare based on probabilistic graphical models : a survey and perspective / Ali Raza, Kim Phuc Tran, Ludovic Koehl and Shujun Li -- Decision support systems for anomaly detection with the applications in smart manufacturing : a survey and perspective / Quoc-Th©þng Nguyen, Tung Nhi Tran, C©♭dric Heuchenne and Kim Phuc Tran -- Decision support system for complex systems risk assessment with Bayesian / Ayeley Tchangani.
Abstract	"This book presents recent advancements of research, new methods and techniques, and applications in decision support systems (DSS) with Machine Learning and Probabilistic Graphical Models. The book undertakes to stimulate scientific exchange, ideas, and experiences in the field of DSS applications. Researchers, postgraduate students, and practitioners alike will benefit from this book to enhance the understanding of machine learning, Probabilistic Graphical Models, and their use 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 are introduced in each chapter"-- Provided by publisher.
Bibliography note	Includes bibliographical references and index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Genre/form	Electronic books.
LCCN	2022005342
ISBN	9781032039480 (hbk.)
ISBN	9781032039503 (pbk.)
ISBN	(ebk.)

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Machine learning and probabilistic graphical models for decision support systems / editor Kim Phuc Tran, Division of Automation and Industrial Informatics, ENSAIT, Roubaix, France.

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