Data-Driven Optimization and Knowledge Discovery for an Enterprise Information System
(Sprache: Englisch)
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...
Voraussichtlich lieferbar in 3 Tag(en)
versandkostenfrei
Buch (Kartoniert)
89.99 €
44 DeutschlandCard Punkte
sammeln
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenlose Rücksendung
- Ratenzahlung möglich
Produktdetails
Produktinformationen zu „Data-Driven Optimization and Knowledge Discovery for an Enterprise Information System “
Klappentext zu „Data-Driven Optimization and Knowledge Discovery for an Enterprise Information System “
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 admission policies optimization, and enterprise service-level performance analysis and prediction. With its emphasis on the above topics, this book provides an in-depth look at enterprise information management solutions that are needed for greater automation and reconfigurability-based fault tolerance, as well as to obtain data-driven recommendations for effective decision-making.Inhaltsverzeichnis zu „Data-Driven Optimization and Knowledge Discovery for an Enterprise Information System “
Introduction.- Production Simulation Platform.- Production Workflow Optimizations.- Predictions of Process-Execution Time and Process-Execution Status.- Optimization of Order-Admission Policies.- Conclusion.
Autoren-Porträt von Qing Duan, Krishnendu Chakrabarty, Jun Zeng
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.
Bibliographische Angaben
- Autoren: Qing Duan , Krishnendu Chakrabarty , Jun Zeng
- 2016, Softcover reprint of the original 1st ed. 2015, XII, 160 Seiten, 47 farbige Abbildungen, Maße: 16,5 x 23,9 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 3319364294
- ISBN-13: 9783319364292
Sprache:
Englisch
Kommentar zu "Data-Driven Optimization and Knowledge Discovery for an Enterprise Information System"
0 Gebrauchte Artikel zu „Data-Driven Optimization and Knowledge Discovery for an Enterprise Information System“
| Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
|---|
Schreiben Sie einen Kommentar zu "Data-Driven Optimization and Knowledge Discovery for an Enterprise Information System".
Kommentar verfassen