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

Authors: Duan, Qing, Chakrabarty, Krishnendu, Zeng, Jun

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  • Addresses system complexity by studying the information system as a mass-customization enterprise
  • Provides practical engineering solutions for real-time applications and data-driven prediction
  • Uses real data and an industry-strength simulation platform that mimics the features of a real enterprise
  • Offers a technology-synthesis platform, combining different techniques such as simulation, optimization, statistical methods and machine-learning algorithms
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eBook 71,68 €
price for Spain (gross)
  • ISBN 978-3-319-18738-9
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 114,39 €
price for Spain (gross)
Softcover 87,46 €
price for Spain (gross)
About this book

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.

About the authors

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.

Table of contents (7 chapters)

Table of contents (7 chapters)

Buy this book

eBook 71,68 €
price for Spain (gross)
  • ISBN 978-3-319-18738-9
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 114,39 €
price for Spain (gross)
Softcover 87,46 €
price for Spain (gross)
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Bibliographic Information

Bibliographic Information
Book Title
Data-Driven Optimization and Knowledge Discovery for an Enterprise Information System
Authors
Copyright
2015
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-18738-9
DOI
10.1007/978-3-319-18738-9
Hardcover ISBN
978-3-319-18737-2
Softcover ISBN
978-3-319-36429-2
Edition Number
1
Number of Pages
XII, 160
Number of Illustrations
29 b/w illustrations, 47 illustrations in colour
Topics