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A survey on missing data in machine learning
Abstract Machine learning has been the corner stone in analysing and extracting information
from data and often a problem of missing values is encountered. Missing values occur …
from data and often a problem of missing values is encountered. Missing values occur …
[HTML][HTML] A survey and analysis of the first 40 years of scholarly literature in DEA: 1978–2016
In recent years there has been an exponential growth in the number of publications related
to theory and applications of Data Envelopment Analysis (DEA). Charnes, Cooper, and …
to theory and applications of Data Envelopment Analysis (DEA). Charnes, Cooper, and …
The potential for energy saving and carbon emission reduction in China's regional industrial sectors
Q Zhu, X Li, F Li, D Zhou - Science of the Total Environment, 2020 - Elsevier
Rapid economic growth of China's industry has brought many problems. Among them, the
problems of energy shortage and environmental pollution have become increasingly …
problems of energy shortage and environmental pollution have become increasingly …
A survey on measuring efficiency through the determination of the least distance in data envelopment analysis
Purpose The purpose of this paper is to provide an outline of the major contributions in the
literature on the determination of the least distance in data envelopment analysis (DEA). The …
literature on the determination of the least distance in data envelopment analysis (DEA). The …
Determining closest targets on the extended facet production possibility set in data envelopment analysis: modeling and computational aspects
Within the framework of data envelopment analysis (DEA) methodology, the problem of
determining the closest targets on the efficient frontier is receiving increased attention from …
determining the closest targets on the efficient frontier is receiving increased attention from …
The determination of the least distance to the strongly efficient frontier in Data Envelopment Analysis oriented models: Modelling and computational aspects
Determining the least distance to the efficient frontier for estimating technical inefficiency,
with the consequent determination of closest targets, has been one of the relevant issues in …
with the consequent determination of closest targets, has been one of the relevant issues in …
[HTML][HTML] Missing data imputation in the Internet of Things sensor networks
The Internet of Things (IoT) has had a tremendous impact on the evolution and adoption of
information and communication technology. In the modern world, data are generated by …
information and communication technology. In the modern world, data are generated by …
Closest targets and strong monotonicity on the strongly efficient frontier in DEA
The determination of closest efficient targets has attracted increasing interest of researchers
in recent Data Envelopment Analysis (DEA) literature. Several methods have been …
in recent Data Envelopment Analysis (DEA) literature. Several methods have been …
A simple MILP to determine closest targets in non-oriented DEA model satisfying strong monotonicity
The benchmarking information targets based on Data envelopment analysis (DEA) are
commonly classified into two groups: the farthest targets and the closest targets. Many …
commonly classified into two groups: the farthest targets and the closest targets. Many …
Finding closest target for bank branches in the presence of weight restrictions using data envelopment analysis
Data envelopment analysis technique, not only evaluates Decision making units (DMUs),
but also introduces a benchmark for inefficient DMUs. By having the data related to the …
but also introduces a benchmark for inefficient DMUs. By having the data related to the …