Predictive analytics : modeling and optimization /

"Predictive analytics refers to making predictions about the future based on different parameters which are historical data, machine learning, and artificial intelligence. This book provides the most recent advances in the field along with case studies and real-world examples. It discusses pred...

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Bibliographic Details
Corporate Author: Taylor & Francis
Other Authors: Kumar, Vijay (Editor), Ram, Mangey (Editor)
Format: eBook
Language:English
Published: Boca Raton, FL : CRC Press, 2021.
Edition:First edition.
Series:Advanced research in reliability and system assurance engineering
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary:"Predictive analytics refers to making predictions about the future based on different parameters which are historical data, machine learning, and artificial intelligence. This book provides the most recent advances in the field along with case studies and real-world examples. It discusses predictive modeling and analytics in reliability engineering, introduces current achievements and applications of AI, data mining, and other techniques in supply chain management. It covers applications to reliability engineering practice, presents numerous examples to illustrate the theoretical results, and considers and analyses case studies and real-word examples. The book is written for researchers and practitioners in the field of system reliability, quality, supply chain management, and logistics management. Students taking courses in these areas will also find this book of interest"--
Physical Description:1 online resource (xiii, 274 pages) : illustrations
Bibliography:Includes bibliographical references and index.
ISBN:9781003083177
100308317X
9781000332889
1000332888
9781000332865
1000332861
9781000332872
100033287X