Features of the use of data mining in the management of migration processes

Dmitrieva Yulia Viktorovna

The aim of the study is to assess the possibility of managing migration processes through the use of data mining. The article determines the possibility of using new technologies in migration management (“migration management”), which will allow to get the greatest effect from labor costs, when using new tools in process management. It is shown that the optimization and transformation of the data flow in process control will make it possible to abandon inefficient and outdated tools in the analysis, which will create conditions for facilitating work in the control system and affect the efficiency of the system as a whole. The possibilities of using new technologies in the process of managing migration processes are substantiated, using algorithms to study data and extract meaningful information from them to predict future trends. The scientific novelty lies in the substantiation of the possibilities of using new technologies in the analysis of data on population migration. As a result of the study, it was proved that the use of new technologies will contribute to the acceleration and high accuracy of scientific research in the field of population migration using information and communication both within the scientific field and between fields of knowledge. In addition, the practical use of data mining in the development of socio-economic and demographic policy measures will reduce errors and inaccuracies in the use of strategically ineffective tools.

Keywords:migration management, artificial intelligence, big data, machine learning.