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- W4285236319 abstract "The article presents the results of a study of statistical data, during which using machine learning methods, socio-economic factors that significantly affect the share of recycled waste in Russia were studied. The assessment of waste processing (treatment, disposal and disposal) activities is proposed to be carried out using the index of W1 - the share of recycled waste in their total mass. Socio-economic factors that have the greatest impact on the level of recycled waste have been identified. Results of cluster analysis, regression analysis and neural network modeling on statistical data from the field of waste management are compared. #CSOC1120" @default.
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- W4285236319 date "2022-01-01" @default.
- W4285236319 modified "2023-09-25" @default.
- W4285236319 title "Use of Machine Learning to Investigate Factors Affecting Waste Generation and Processing Processes in Russia" @default.
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- W4285236319 doi "https://doi.org/10.1007/978-3-031-09073-8_23" @default.
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