Qing Duan

Data-Driven Optimization and Knowledge Discovery for an Enterprise Information System

Ebook (PDF Format)

This book provides a comprehensive set of optimization and prediction techniques for an enterprise information system. Readers with a background in operations research, system engineering, statistics, or data analytics can use this book as a reference to derive insight from data and use this knowledge as guidance for production management. The authors identify the key challenges in enterprise information management and present results that have emerged from leading-edge research in this domain. Coverage includes topics ranging from task scheduling and resource allocation, to workflow optimization, process time and status prediction, order adm… Mehr

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Produktdetails

Weitere Autoren: Chakrabarty, Krishnendu / Zeng, Jun

ISBN: 978-3-319-18738-9
EAN: 9783319187389
Produktnummer: 18371472
Verlag: Springer-Verlag GmbH
Sprache: Englisch
Erscheinungsjahr: 2015
Seitenangabe: 160 S.
Plattform: PDF
Masse: 4'791 KB
Auflage: 2015
Abbildungen: 29 schwarz-weiße und 47 farbige Abbildungen, 15 schwarz-weiße Tabellen, Bibliographie

Über den Autor

Qing Duan is a data scientist at Paypal, Inc. Krishnendu Chakrabarty is a Professor in the Department of Electrical and Computer Engineering at Duke University. Jun Zeng is a principal researcher at Hewlett-Packard Labs.