Economic growth monitoring and the Russian regions typology in terms of quality of life in the digitalization of territories

DOI

10.2991/cssdre-19.2019.111How to use a DOI?

Keywords

population's quality of life, Russian regions, comprehensive monitoring system, information and analytical system, data warehouse, multi-factor evaluation, data mining methods, multidimensional data presentation, rating analysis, cluster analysis

Abstract

In this paper, the authors propose a comprehensive monitoring system for the quality of life of the population in the Russian regions, including methodological assessment tools and information-analytical system using Data Mining methods, allowing public authorities to justify and adjust programs aimed at its improvement. The comprehensive monitoring system includes: descriptive and comparative analysis of statistical and analytical materials for a certain period of time, characterizing the quality of life of population in the Russian Federation regions; the rationale and implementation of choosing the most important basic components of this assessment; development of a system of indicators to measure the quality of life of population in the Russian regions; the choice of a particular method of synthesis of partial indicators into a single integrated index. The information and analytical system for monitoring the quality of life of the population in the Russian Federation regions is based on a data warehouse containing statistical indicators and an analytical platform that allows to evaluate data using Data Mining processing technologies: multidimensional data presentation; rating analysis; cluster analysis of the quality of life of the population in the Russian regions using the Kohonen learning rule. At the final stage of monitoring, the priority strategic directions for improving the quality of life of the population in the Russian regions are identified.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Elena Petrova
AU  - Anna Trukhlyaeva
AU  - Elena Fokina
PY  - 2019/06
DA  - 2019/06
TI  - Economic growth monitoring and the Russian regions typology in terms of quality of life in the digitalization of territories
BT  - Proceedings of the Volgograd State University International Scientific Conference "Competitive, Sustainable and Safe Development of the Regional Economy" (CSSDRE 2019)
PB  - Atlantis Press
SP  - 575
EP  - 580
SN  - 2352-5428
UR  - https://doi.org/10.2991/cssdre-19.2019.111
DO  - 10.2991/cssdre-19.2019.111
ID  - Petrova2019/06
ER  -