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

A. N. Kazinets ()

Digital Transformation, 2024, vol. 30, issue 2

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.

Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:abx:journl:y:2024:id:846

DOI: 10.35596/1729-7648-2024-30-2-33-42

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