Skip to main content alibris logo

Data-Enabled Analytics: Dea for Big Data

by ,

Write The First Customer Review
Data-Enabled Analytics: DEA for Big Data - Zhu, Joe (Editor), and Charles, Vincent (Editor)
Filter Results
Shipping
Item Condition
Seller Rating
Other Options
Change Currency

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.

loading
Data-Enabled Analytics: DEA for Big Data 2022, Springer Nature Switzerland AG, Cham

ISBN-13: 9783030751647

Paperback

Data-Enabled Analytics: Dea for Big Data 2021, Springer, Cham

ISBN-13: 9783030751616

2021 edition

Hardcover