Predictive analytics modeling and optimization / edited by Vijay Kumar and Mangey Ram.

Other author Kumar, Vijay.
Other author Ram, Mangey.
Format Electronic
EditionFirst edition.
Publication InfoBoca Raton, FL : CRC Press/Taylor & Francis Group, LLC, 2021.
Description1 online resource
Supplemental ContentFull text available from Taylor & Francis eBooks
Subjects

SeriesAdvanced research in reliability and system assurance engineering
Abstract "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"-- Provided by publisher.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Source of descriptionDescription based on print version record and CIP data provided by publisher.
Issued in other formPrint version: Predictive analytics First edition. Boca Raton, FL : CRC Press/Taylor & Francis Group, LLC, 2021. 9780367537463
Genre/formElectronic books.
LCCN 2020038822
ISBN9781000332889 (epub)
ISBN9781003083177 (ebook)
ISBN(hardback)

Availability

Library Location Call Number Status Item Actions
Electronic Resources Access Content Online ✔ Available