Data-enabled analytics : DEA for big data

Chapter 1. Data Envelopment Analysis and Big Data: A Systematic Literature Review with Bibliometric Analysis -- Chapter 2. Acceleration of large-scale DEA computations using random forest classification -- Chapter 3. The estimation of productive efficiency through machine learning techniques: Efficiency Analysis Trees -- Chapter 4. Hybrid Data Science and Reinforcement Learning in Data Envelopment Analysis -- Chapter 5. Aggregation of Outputs and Inputs for DEA Analysis of Hospital Efficiency: Economics, Operations Research and Data Science Perspectives -- Chapter 6. Parallel Processing and Large-Scale Datasets in Data Envelopment Analysis -- Chapter 7. Network DEA and Big Data with an Application to the Coronavirus Pandemic -- Chapter 8. Hierarchical Data Envelopment Analysis for Classification of High-Dimensional Data -- Chapter 9. Dominance Network Analysis: Hybridizing DEA and Complex Networks for Data Analytics -- Chapter 10. Value extracting in relative performance appraisal with network DEA: an application to U.S. equity mutual funds -- Chapter 11. Measuring Chinese bank performance with undesirable outputs: a slack-based two-stage network DEA approach -- Chapter 12. Using Network DEA and Grey Prediction Model for Big Data Analysis: An Application in the Global Airline Efficiency.