Analysis on the Development Strategy of Private Education Based on Data Mining Algorithm

In order to improve the development effect of private education, this paper analyzes the current situation of private education combined with the data mining algorithm and explores the problems existing in the development of private education. Moreover, this paper combines the semi-parametric produc...

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Veröffentlicht in:Mathematical problems in engineering Jg. 2022; S. 1 - 10
Hauptverfasser: Xing, Hongjun, Maia, Darchia
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Hindawi 11.07.2022
John Wiley & Sons, Inc
Schlagworte:
Access to education
Algorithms
Compulsory education
Data analysis
Data mining
Distributive justice
Education
Education policy
Equal rights
Equality
Higher education
Impact analysis
Learning
Parameter estimation
Parameter modification
Private colleges & universities
Private schools
Professional development
Public schools
Regression models
Socioeconomic factors
Teaching
China
ISSN:1024-123X, 1563-5147
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Zusammenfassung:In order to improve the development effect of private education, this paper analyzes the current situation of private education combined with the data mining algorithm and explores the problems existing in the development of private education. Moreover, this paper combines the semi-parametric product estimation method with parameter estimation and applies the estimation method to model-assisted sampling estimation. This work enhances the estimate accuracy of the sample estimation and increases the field of application of the model while enhancing the classic generalized regression estimation. It also modifies the estimation accuracy on the basis of the linear assumption. The experimental study reveals that the data mining algorithm-based analysis approach for private education development provided in this work has a certain impact, and the development strategy of private education is assessed on this premise.
Bibliographie:ObjectType-Article-1
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ISSN:1024-123X
1563-5147
DOI:10.1155/2022/2783398