2019
DOI: 10.30525/2256-0742/2019-5-4-137-147
|View full text |Cite
|
Sign up to set email alerts
|

The Systematization and Classification of Socio-Economic Problems in Higher Education

Abstract: Economic, social, demographic, ideological, and political instability in Ukraine has become the cause of a whole range of socio-economic problems in higher education. It requires studying their composition, interdependence, and impact on higher education. Nowadays different ranges of socio-economic problems in higher education in Ukraine are being discussed in the literature. Despite a large number of publications, the systematization of socio-economic problems in higher education in Ukraine is not given due a… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 6 publications
(1 citation statement)
references
References 1 publication
0
1
0
Order By: Relevance
“…Instance data classification is a process of predicting classes [3]. Classification is widely used in various fields including education [4] [5], banking [6], health [7] [8], stockbreeding [9], and even game development [10]. Naïve Bayes, K Nearest Neighbor, Decision Tree, Support Vector Machine (SVM), Convolution Neural Network (CNN), and hybrid approaches are some of the most commonly used classification methods.…”
Section: Introductionmentioning
confidence: 99%
“…Instance data classification is a process of predicting classes [3]. Classification is widely used in various fields including education [4] [5], banking [6], health [7] [8], stockbreeding [9], and even game development [10]. Naïve Bayes, K Nearest Neighbor, Decision Tree, Support Vector Machine (SVM), Convolution Neural Network (CNN), and hybrid approaches are some of the most commonly used classification methods.…”
Section: Introductionmentioning
confidence: 99%