Analysis of International Eco-Economic Systems Using Data Mining Methods

DOI

10.2991/aebmr.k.201205.034How to use a DOI?

Keywords

natural environment, eco-economic system, environmental compliance, data mining, cluster analysis, environmental compliance

Abstract

The environmental pollution problems in the world have become urgent and are noted for sustainable development. The article analyzes 173 world countries in terms of ecological and economic systems and their development level, reflecting the relationship of the natural environment, economic and social human activity. A cluster analysis of countries by the environmental stress level was performed to determine the relationship of the demographic situation in the country, the level of medicine, education and economic development. The data mining methods were used to classify countries into groups by environmental indicators using sets of indicators, characterizing demography, medicine, education, and economic development. The developed methodological approach to the analysis is automated using R language.

Copyright

© 2020, 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  - A.E. Kharitonova
AU  - A.E. Ulyankin
PY  - 2020
DA  - 2020/12/07
TI  - Analysis of International Eco-Economic Systems Using Data Mining Methods
BT  - Proceedings of the 2nd International Scientific and Practical Conference on Digital Economy (ISCDE 2020)
PB  - Atlantis Press
SP  - 207
EP  - 212
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.201205.034
DO  - 10.2991/aebmr.k.201205.034
ID  - Kharitonova2020
ER  -