Application of Intelligent Data Analysis to Predict the Employment Success of Socially Vulnerable Groups

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...

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Main Author: A. N. Kazinets
Format: Article
Language:Russian
Published: Ministry of Education of the Republic of Belarus, Establishment The Main Information and Analytical Center 2024-06-01
Series:Цифровая трансформация
Subjects:
Online Access:https://dt.bsuir.by/jour/article/view/846
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author A. N. Kazinets
author_facet A. N. Kazinets
author_sort A. N. Kazinets
collection DOAJ
description 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.
format Article
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institution Kabale University
issn 2522-9613
2524-2822
language Russian
publishDate 2024-06-01
publisher Ministry of Education of the Republic of Belarus, Establishment The Main Information and Analytical Center
record_format Article
series Цифровая трансформация
spelling doaj-art-5a4b6345cc6c47209213fc8e900e32512025-02-03T05:39:07ZrusMinistry of Education of the Republic of Belarus, Establishment The Main Information and Analytical CenterЦифровая трансформация2522-96132524-28222024-06-01302334210.35596/1729-7648-2024-30-2-33-42335Application of Intelligent Data Analysis to Predict the Employment Success of Socially Vulnerable GroupsA. N. Kazinets0Belarusian State University of Informatics and RadioelectronicsIn 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.https://dt.bsuir.by/jour/article/view/846socially vulnerable groupsemploymenteconomic analysisdigital transformationmachine learningbig data analysissocial policy
spellingShingle A. N. Kazinets
Application of Intelligent Data Analysis to Predict the Employment Success of Socially Vulnerable Groups
Цифровая трансформация
socially vulnerable groups
employment
economic analysis
digital transformation
machine learning
big data analysis
social policy
title Application of Intelligent Data Analysis to Predict the Employment Success of Socially Vulnerable Groups
title_full Application of Intelligent Data Analysis to Predict the Employment Success of Socially Vulnerable Groups
title_fullStr Application of Intelligent Data Analysis to Predict the Employment Success of Socially Vulnerable Groups
title_full_unstemmed Application of Intelligent Data Analysis to Predict the Employment Success of Socially Vulnerable Groups
title_short Application of Intelligent Data Analysis to Predict the Employment Success of Socially Vulnerable Groups
title_sort application of intelligent data analysis to predict the employment success of socially vulnerable groups
topic socially vulnerable groups
employment
economic analysis
digital transformation
machine learning
big data analysis
social policy
url https://dt.bsuir.by/jour/article/view/846
work_keys_str_mv AT ankazinets applicationofintelligentdataanalysistopredicttheemploymentsuccessofsociallyvulnerablegroups