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Image for Data-Enabled Analytics

Data-Enabled Analytics : DEA for Big Data (1st ed. 2021)

Charles, Vincent(Edited by), Zhu, Joe(Edited by)
Part of the International Series in Operations Research & Management Science series
See all formats and editions

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.

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Product Details
Springer Nature Switzerland AG
3030751619 / 9783030751616
Hardback
658.4034
17/12/2021
Switzerland
364 pages, 103 Illustrations, black and white; X, 364 p. 103 illus.
155 x 235 mm
KC Economics, KCA Economic theory & philosophy, KJMD Management decision making, KJQ Business mathematics & systems, KJT Operational research, UF Business applications, UN Databases
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