Application of Intelligent Data Analysis to Predict the Employment Success of Socially Vulnerable Groups
https://doi.org/10.35596/1729-7648-2024-30-2-33-42
Abstract
In modern society, where social vulnerability is defined through the existence of population groups with limited material resources and a corresponding need for social support, complex challenges arise for researchers and practitioners in the field of socio-economic policy. The article discusses the use of data mining methods to predict the effectiveness of employment of socially vulnerable categories of the population. A multidimensional analysis of this issue was carried out, covering its various facets.
About the Author
A. N. Kazinets
Belarusian State University of Informatics and Radioelectronics
Belarus
Belarus
Kazinets Aliaksandr Nikolaevich, Postgraduate at the Department of Economics
220013, Minsk, P. Brovki St., 6
Tel.: +375 17 293-80-46
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Review
For citations:
Kazinets A.N. Application of Intelligent Data Analysis to Predict the Employment Success of Socially Vulnerable Groups. Digital Transformation. 2024;30(2):33-42. (In Russ.) https://doi.org/10.35596/1729-7648-2024-30-2-33-42
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