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

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Qing Duan Krishnendu Chakrabarty

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

Qing Duan, Krishnendu Chakrabarty, Jun Zeng

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Hardback

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English

Springer International Publishing AG
29 June 2015

Circuits & components; Communications engineering & telecommunications; Information retrieval

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.

By: Qing Duan, Krishnendu Chakrabarty, Jun Zeng
Imprint: Springer International Publishing AG
Country of Publication: Switzerland
Edition: 2015 ed.
Dimensions: Height: 235mm, Width: 155mm, Spine: 11mm
Weight: 482g
ISBN: 9783319187372
ISBN 10: 3319187376
Pages: 160
Publication Date: 29 June 2015
Audience: College/higher education , Professional and scholarly , Further / Higher Education , Undergraduate
Format: Hardback
Publisher's Status: Active

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.