Analysis of International Eco-Economic Systems Using Data Mining Methods
- 10.2991/aebmr.k.201205.034How to use a DOI?
- natural environment, eco-economic system, environmental compliance, data mining, cluster analysis, environmental compliance
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.
- © 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/).
Cite this article
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 -