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Название: Data-Enabled Analytics: DEA for Big Data
Автор: Joe Zhu, Vincent Charles
Издательство: Springer
Год: 2021
Страниц: 370
Язык: английский
Формат: pdf (true), epub
Размер: 36.1 MB
This book brings Data Envelopment Analysis (DEA) based techniques and Big Data together to explore the novel uses and potentials of 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.
Автор: Joe Zhu, Vincent Charles
Издательство: Springer
Год: 2021
Страниц: 370
Язык: английский
Формат: pdf (true), epub
Размер: 36.1 MB
This book brings Data Envelopment Analysis (DEA) based techniques and Big Data together to explore the novel uses and potentials of 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.