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

  • Qing Duan
  • Krishnendu Chakrabarty
  • Jun Zeng

Table of contents

  1. Front Matter
    Pages i-xii
  2. Qing Duan, Krishnendu Chakrabarty, Jun Zeng
    Pages 1-17
  3. Qing Duan, Krishnendu Chakrabarty, Jun Zeng
    Pages 19-27
  4. Qing Duan, Krishnendu Chakrabarty, Jun Zeng
    Pages 29-59
  5. Qing Duan, Krishnendu Chakrabarty, Jun Zeng
    Pages 61-83
  6. Qing Duan, Krishnendu Chakrabarty, Jun Zeng
    Pages 85-114
  7. Qing Duan, Krishnendu Chakrabarty, Jun Zeng
    Pages 115-138
  8. Qing Duan, Krishnendu Chakrabarty, Jun Zeng
    Pages 139-141
  9. Back Matter
    Pages 143-160

About this book

Introduction

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.

Keywords

Data Mining Enterprise Information System Design Enterprise Performance Analysis and Prediction Knowledge Discovery Machine Learning

Authors and affiliations

  • Qing Duan
    • 1
  • Krishnendu Chakrabarty
    • 2
  • Jun Zeng
    • 3
  1. 1.PayPal, Inc.San JoseUSA
  2. 2.ECEDuke UniversityDurhamUSA
  3. 3.Hewlett-Packard LabsPalo AltoUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-18738-9
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-18737-2
  • Online ISBN 978-3-319-18738-9
  • Buy this book on publisher's site
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