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

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

Jazyk: Angličtina
Vazba: Pevná
Dostupnost: Skladem u dodavatele
Odesíláme za 10-13 dnů
2 234
This book provides a comprehensive set of optimization and prediction techniques for an enterprise i...

Informace o knize

Jazyk
Angličtina
Vazba
Kniha - Pevná
Vydáno
2015
Stránek
160
EAN
9783319187372
ISBN
3319187376
Enbook ID
09271954
Hmotnost
394
Rozměry
165 x 249 x 13

Kompletní popis

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 reconfigurabilty-based fault tolerance, as well as to obtain data-driven recommendations for effective decision-making.§§

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