Acceleration of large-scale DEA computations using random forest classification
Year of publication: |
2021
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Authors: | Yu, Anyu ; Shi, Yu ; Zhu, Joe |
Published in: |
Data-enabled analytics : DEA for big data. - Cham, Switzerland : Springer, ISBN 978-3-030-75161-6. - 2021, p. 31-49
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Subject: | Data envelopment analysis | Data enabled analytics | Large-scale computations | Random forest | Big data | Best-practice DMU classification | Data-Envelopment-Analyse | Klassifikation | Classification | Big Data | Data Mining | Data mining | Mathematische Optimierung | Mathematical programming | Computerunterstützung | Computerized method | Forstwirtschaft | Forestry |
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Data-enabled analytics : DEA for big data
Zhu, Joe, (2021)
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Data-enabled analytics : DEA for big data
Zhu, Joe, (2021)
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Lu, Wen-Min, (2021)
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Yu, Anyu, (2021)
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Shi, Yu, (2021)
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Shi, Yu, (2024)
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