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

Autor:	A. N. Kazinets
Jazyk:	ruština
Rok vydání:	2024
Předmět:	socially vulnerable groups employment economic analysis digital transformation machine learning big data analysis social policy Information technology T58.5-58.64
Zdroj:	Цифровая трансформация, Vol 30, Iss 2, Pp 33-42 (2024)
Druh dokumentu:	article
ISSN:	2522-9613 2524-2822 1729-7648
DOI:	10.35596/1729-7648-2024-30-2-33-42
Popis:	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.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/5a4b6345cc6c47209213fc8e900e3251 Zobrazit plný text záznamu View record in DOAJ