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

Zeng, Jun; Chakrabarty, Krishnendu; Duan, Qing

 
9783319187372: Data-Driven Optimization and Knowledge Discovery for an Enterprise Information System
Tapa dura
ISBN 10: 3319187376 ISBN 13: 9783319187372
Editorial: Springer, 2015

Sinopsis

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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Acerca del autor

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.

De la contraportada

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2015
Idioma
Inglés
ISBN 10 
3319187376
ISBN 13 
9783319187372
Encuadernación
Tapa dura
Número de páginas
174
Contacto del fabricante
no disponible
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Otras ediciones populares con el mismo título

9783319364292: Data-Driven Optimization and Knowledge Discovery for an Enterprise Information System

Edición Destacada

ISBN 10:  3319364294 ISBN 13:  9783319364292
Editorial: Springer, 2016
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