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

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.

Keywords

• socially vulnerable groups
• employment
• economic analysis
• digital transformation
• machine learning
• big data analysis
• social policy