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SAMMS003.pdf

Article Title : Analysis on Influencing Factors of Sustainable Development of Colleges and Universities Based on Data Mining
Author(s) : Chenyan Zhao, Wenjun Li and Tianyu Li
Corresponding Author : Wenjun Li
Keywords : Higher education system; data analysis; PCA; Variable clustering
PDF : http://download.BCPub.org/proceedings/2021/SAMMS2021/SAMMS003.pdf
Abstract

In order to determine the factors that affect the health and sustainability of the national higher education system, we initially select 14 variables, such as the average expenditure per student, the ratio of teachers to students, the popularization rate of higher education and the proportion of foreign students, for follow-up analysis and modeling. Secondly, the blank data of variables are added and eliminated, and the 3σ criterion is used to verify the processed data. Then, we reduce the dimension of the variables by principal component analysis and variable clustering. The two algorithms complement each other to ensure the reliability of data dimension reduction. Finally, eight main variables, such as the average expenditure per student, the popularization rate of higher education and the proportion of foreign students, are selected for modeling and analysis.

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