Big data efficiency analysis: improved algorithms for data envelopment analysis involving large datasets
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Publication:2669652
DOI10.1016/j.cor.2021.105553OpenAlexW3197993026MaRDI QIDQ2669652
Publication date: 9 March 2022
Published in: Computers \& Operations Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cor.2021.105553
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Cites Work
- Unnamed Item
- Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis
- Measuring the efficiency of decision making units
- Streamlined computation for data envelopment analysis
- Parallel processing of the Build Hull algorithm to address the large-scale DEA problem
- A procedure for large-scale DEA computations
- Parallel and hierarchical decomposition approaches for solving large-scale data envelopment analysis models
- Efficiency evaluation based on data envelopment analysis in the big data context
- A bootstrap approach for bandwidth selection in estimating conditional efficiency measures
- Data envelopment analysis and big data
- An integrated data envelopment analysis and simulation method for group consensus ranking
- Aggregation of inputs and outputs prior to data envelopment analysis under big data
- An Algorithm for Data Envelopment Analysis
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