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

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Data-Driven Optimization and Knowledge Discovery for an Enterprise Information System
  • Forlagets pris kr. 909,95
  • Leveringstid 2-4 uger
  • Forventet levering 24-07-2018
  • Bog, paperback (kr. 619,95) (kr. 619,95)
    1. Beskrivelse

      This book provides a comprehensive set of optimization and prediction techniques for an enterprise information system. 1 Paperback 15 Tables, black and white; 47 Illustrations, color; 29 Illustrations, black and white; XII, 160 p. 76 illus., 47 illus. in color.

      Andre udgaver:

      Bog, hardback
      E-bog, PDF

    2. Yderligere info
      Udgivelsesdato:
      15-10-2016
      Sprog:
      Engelsk
      ISBN13:
      9783319364292
      Sidetal:
      172
      Vægt:
      369 g
      Bredde:
      155 mm
      Længde:
      235 mm
      Mærkat:
      Bog, paperback
      Format:
      Paperback
      Udgave:
      Softcover reprint of the original 1st ed. 2015
      • Bibliotekernes beskrivelse

        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.

    3. Anmeldelser

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