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

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

Qin Li, Peng-Zhi Xiang, Chunhong Zhang
Copyright: © 2022 |Volume: 14 |Issue: 2 |Pages: 14
ISSN: 1935-5688|EISSN: 1935-5696|EISBN13: 9781683180319|DOI: 10.4018/IJISSS.290545
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MLA

Li, Qin, et al. "Feature Information Recognition of Waste Recycling Resource Set Based on Data Mining." IJISSS vol.14, no.2 2022: pp.1-14. http://doi.org/10.4018/IJISSS.290545

APA

Li, Q., Xiang, P., & Zhang, C. (2022). Feature Information Recognition of Waste Recycling Resource Set Based on Data Mining. International Journal of Information Systems in the Service Sector (IJISSS), 14(2), 1-14. http://doi.org/10.4018/IJISSS.290545

Chicago

Li, Qin, Peng-Zhi Xiang, and Chunhong Zhang. "Feature Information Recognition of Waste Recycling Resource Set Based on Data Mining," International Journal of Information Systems in the Service Sector (IJISSS) 14, no.2: 1-14. http://doi.org/10.4018/IJISSS.290545

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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.

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