Feature Information Recognition of Waste Recycling Resource Set Based on Data Mining

Qin Li, Peng-Zhi Xiang and Chunhong Zhang
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Qin Li: School of Chemical Engineering, Open University of Yunnan, China
Peng-Zhi Xiang: School of Chemical Engineering, Open University of Yunnan, China
Chunhong Zhang: Yunnan University, China

International Journal of Information Systems in the Service Sector (IJISSS), 2022, vol. 14, issue 2, 1-14

Abstract: Based on data mining, this paper analyzes the development characteristics of waste recycling resources, classifies the characteristics of waste recycling resources, constructs the evaluation level of characteristic information of waste recycling resources set, and quantitatively analyzes the factors influencing the development of waste recycling resources by using data mining method. This paper analyzes the cause and effect classification and importance, analyzing the main factors affecting the development of renewable resources recovery, putting forward to the countermeasures and suggestions on how to develop the recycling of renewable resources and further improving the overall operation and supervision system of waste chain.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jisss0:v:14:y:2022:i:2:p:1-14

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