Data-Enabled Analytics: Dea For Big Data (International Series In Operations Research & Management Science)

Springer
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9783030751647
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ISBN13:
9783030751647
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This book explores the novel uses and potentials of Data Envelopment Analysis (DEA) under big data. These areas are of widespread interest to researchers and practitioners alike. Considering the vast literature on DEA, one could say that DEA has been and continues to be, a widely used technique both in performance and productivity measurement, having covered a plethora of challenges and debates within the modelling framework.


  • | Author: Joe Zhu, Vincent Charles
  • | Publisher: Springer
  • | Publication Date: Dec 18, 2022
  • | Number of Pages: 376 pages
  • | Language: English
  • | Binding: Paperback
  • | ISBN-10: 3030751643
  • | ISBN-13: 9783030751647
Author:
Joe Zhu, Vincent Charles
Publisher:
Springer
Publication Date:
Dec 18, 2022
Number of pages:
376 pages
Language:
English
Binding:
Paperback
ISBN-10:
3030751643
ISBN-13:
9783030751647