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

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  • A. N. Kazinets

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.

Suggested Citation

  • A. N. Kazinets, 2024. "Application of Intelligent Data Analysis to Predict the Employment Success of Socially Vulnerable Groups," Digital Transformation, Educational Establishment “Belarusian State University of Informatics and Radioelectronicsâ€, vol. 30(2).
    • Handle: RePEc:abx:journl:y:2024:id:846
    DOI: 10.35596/1729-7648-2024-30-2-33-42
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