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Bog, paperback Data-Driven Optimization and Knowledge Discovery for an Enterprise Information System af Qing Duan

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

(Bog, paperback)

29 black & white illustrations, 47 colour illustrations, 15 black & white tables, biography

29 black & white illustrations, 47 colour illustrations, 15 black & white tables, biography

Produktdetaljer:

Sprog:
Engelsk
ISBN-13:
9783319364292
Sideantal:
172
Udgivet:
04-11-2016
Udgave:
Softcover reprint of the original 1st ed. 2015
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(Bog, hardback), Engelsk
kr. 587,61
 
kr. 859,95
Leveringstid
2-4 uger
Leveres senest
09-01-2017
-31%

kr. 587,77
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Forlagets beskrivelse
29 black & white illustrations, 47 colour illustrations, 15 black & white tables, biography
Bibliotekernes beskrivelse
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.

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