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Books in English > Technology, Engineering, Agriculture > Electronics & communications engineering > Electronics engineering > Electronics: circuits & components > Data-Driven Optimization and Knowledge Discovery for an Enterprise Information System

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

Name: Data-Driven Optimization and Knowledge Discovery for an Enterprise Information System
Brand: Springer International Publishing AG
SKU: 09271954
Price: 39001 HUF
Availability: InStock
Author: Qing Duan
ISBN: 9783319187372

Qing Duan

Krishnendu Chakrabarty

Jun Zeng

Language

English

Book Hardback

Libristo code: 09271954

Publishers Springer International Publishing AG, June 2015

This book provides a comprehensive set of optimization and prediction techniques for an enterprise i... Full description

Libristo code: 09271954

265 b

39 001 Ft

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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.§§