Comparison of dimension reduction methods for DEA under big data via Monte Carlo simulation
Year of publication: |
2021
|
---|---|
Authors: | Chen, Zikang ; Han, Song |
Published in: |
Journal of management science and engineering. - Amsterdam : Elsevier, ISSN 2589-5532, ZDB-ID 2972364-4. - Vol. 6.2021, 4, p. 363-376
|
Subject: | Data envelopment analysis | Big data | Data dimension reduction method | Data-Envelopment-Analyse | Big Data | Monte-Carlo-Simulation | Monte Carlo simulation | Data Mining | Data mining | Statistische Methode | Statistical method |
-
From data to big data in production research : the past and future trends
Kuo, Yong-Hong, (2019)
-
LASSO DEA for small and big data
Chen, Ya, (2020)
-
Comparative analysis of methods for prediction continuous numerical features on big datasets
Kinshakov, Eduard, (2021)
- More ...
-
A taxonomy for information privacy in virtual collaborations
Skinner, Geoff, (2006)
-
A conceptual framework for information security and privacy
Skinner, Geoff, (2006)
-
Defining and protecting meta privacy: A new conceptual framework within information privacy
Skinner, Geoffrey, (2006)
- More ...