Qing Duan

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

Buch

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

CHF 120.00

Preise inkl. MwSt. und Versandkosten (Portofrei ab CHF 40.00)

Versandfertig innerhalb 1-3 Werktagen

V112: Lieferbar in ca. 10-20 Arbeitstagen

Produktdetails

Weitere Autoren: Chakrabarty, Krishnendu / Zeng, Jun

ISBN: 978-3-319-36429-2
EAN: 9783319364292
Produktnummer: 31958082
Verlag: Springer Nature EN
Sprache: Englisch
Erscheinungsjahr: 2016
Seitenangabe: 160 S.
Masse: H23.5 cm x B15.5 cm 3'014 g
Auflage: Nachdr.
Abbildungen: schwarz-weiss Illustrationen, farbige Illustrationen, Tabellen, schwarz-weiss
Gewicht: 3014
Sonstiges: Professional/practitioner

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.