Titlebook: Data-Enabled Analytics; DEA for Big Data Joe Zhu,Vincent Charles Book 2021 The Editor(s) (if applicable) and The Author(s), under exclusive

带来的感觉

Dominance Network Analysis: Hybridizing Dea and Complex Networks for Data Analytics,ractice. The network paradigm provides a versatile and efficient modelling framework that allows computing a wide array of quantitative characterization measures as well as powerful visualization capabilities. The methodology is illustrated with data on how the COVID-19 pandemic has affected the different countries.

引导

https://doi.org/10.1007/978-981-13-0641-9with small variation in prices) does not significantly affect the DEA estimates under the price-based aggregation approach. Moreover, the estimated efficiency scores from DEA models are also robust with respect to the two different aggregation approaches.

Aromatic

Introduction on Nye’s Theory of Soft Powerexisting method is changed when cardinality, dimension, density, and the number of processors in parallel are changed. A new methodology is proposed using the combination of two existing methods. In general, the proposed method is faster than all existing methods regardless of cardinalities, dimensions, and densities.

obstinate

Aggregation of Outputs and Inputs for DEA Analysis of Hospital Efficiency: Economics, Operations Rewith small variation in prices) does not significantly affect the DEA estimates under the price-based aggregation approach. Moreover, the estimated efficiency scores from DEA models are also robust with respect to the two different aggregation approaches.

hegemony

Parallel Processing and Large-Scale Datasets in Data Envelopment Analysis,existing method is changed when cardinality, dimension, density, and the number of processors in parallel are changed. A new methodology is proposed using the combination of two existing methods. In general, the proposed method is faster than all existing methods regardless of cardinalities, dimensions, and densities.

deficiency

Book 2021ers 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.

grovel

ODIUM

Andreas Ch. Hadjichambis,Pedro Reis applied across a myriad of domains. Over the past years, various advancements in big data have captured the attention of DEA scholars, which in turn, has translated into the emergence of new research strands. In the present work, we perform a systematic literature review with bibliometric analysis

臭了生气

MAPLE