Application of Data Mining Technology in Public Welfare Sports Education in the Era of Artificial Intelligence

Data mining refers to extracting the implicit prediction information from a massive dataset. It has very application prospects. Some data mining tools can develop things. The purpose of this article mainly discusses the public welfare sports education in the artificial intelligence era. The article...

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Autores principales:	Xiaoyan Dong, Xiaohua Huang, Min Lin
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Telecommunication TK5101-6720
Acceso en línea:	https://doaj.org/article/fa3a1913efbe4634bdaf919f2fc175de
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spelling	oai:doaj.org-article:fa3a1913efbe4634bdaf919f2fc175de2021-11-22T01:11:20ZApplication of Data Mining Technology in Public Welfare Sports Education in the Era of Artificial Intelligence1875-905X10.1155/2021/8692292https://doaj.org/article/fa3a1913efbe4634bdaf919f2fc175de2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/8692292https://doaj.org/toc/1875-905XData mining refers to extracting the implicit prediction information from a massive dataset. It has very application prospects. Some data mining tools can develop things. The purpose of this article mainly discusses the public welfare sports education in the artificial intelligence era. The article discusses the research background and significance, development of education data mining, and decision tree technology and enumerates the application of education data mining in real life. The concept of educational data mining is given, and several common typical decision tree algorithms and their connections and differences are described; then, the concepts of multivalue decision tables and decision trees are discussed in detail. This article aims to build a nonprofit physical education system to manage and analyze the attendance data of students’ physical health assessment, so as to improve the enthusiasm of students to exercise, such as BP neural network, decision tree classification algorithm, and cluster analysis, discusses the calculation and analysis process of the relevant body side data of the sports teaching platform, and emphatically discusses and analyzes the application effect of data mining technology in public welfare sports teaching. In addition, this article has built a public welfare physical education system, allowing us to clearly understand various factors that affect students’ exercise and the relationship between various project indicators. Based on these data, educators can adjust technical means. Experimental results can efficiently and conveniently understand the pass rate of students in various sports. The pass rates of students in the six tests, grip strength, and sitting forward bending were 58%, 65%, 78%, 78%, 85%, and 65%, respectively. Using mathematical methods and computer technology, we can dig out valuable education management information from massive education data, so as to provide a reference for improving school enrollment.Xiaoyan DongXiaohua HuangMin LinHindawi LimitedarticleTelecommunicationTK5101-6720ENMobile Information Systems, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Telecommunication TK5101-6720
spellingShingle	Telecommunication TK5101-6720 Xiaoyan Dong Xiaohua Huang Min Lin Application of Data Mining Technology in Public Welfare Sports Education in the Era of Artificial Intelligence
description	Data mining refers to extracting the implicit prediction information from a massive dataset. It has very application prospects. Some data mining tools can develop things. The purpose of this article mainly discusses the public welfare sports education in the artificial intelligence era. The article discusses the research background and significance, development of education data mining, and decision tree technology and enumerates the application of education data mining in real life. The concept of educational data mining is given, and several common typical decision tree algorithms and their connections and differences are described; then, the concepts of multivalue decision tables and decision trees are discussed in detail. This article aims to build a nonprofit physical education system to manage and analyze the attendance data of students’ physical health assessment, so as to improve the enthusiasm of students to exercise, such as BP neural network, decision tree classification algorithm, and cluster analysis, discusses the calculation and analysis process of the relevant body side data of the sports teaching platform, and emphatically discusses and analyzes the application effect of data mining technology in public welfare sports teaching. In addition, this article has built a public welfare physical education system, allowing us to clearly understand various factors that affect students’ exercise and the relationship between various project indicators. Based on these data, educators can adjust technical means. Experimental results can efficiently and conveniently understand the pass rate of students in various sports. The pass rates of students in the six tests, grip strength, and sitting forward bending were 58%, 65%, 78%, 78%, 85%, and 65%, respectively. Using mathematical methods and computer technology, we can dig out valuable education management information from massive education data, so as to provide a reference for improving school enrollment.
format	article
author	Xiaoyan Dong Xiaohua Huang Min Lin
author_facet	Xiaoyan Dong Xiaohua Huang Min Lin
author_sort	Xiaoyan Dong
title	Application of Data Mining Technology in Public Welfare Sports Education in the Era of Artificial Intelligence
title_short	Application of Data Mining Technology in Public Welfare Sports Education in the Era of Artificial Intelligence
title_full	Application of Data Mining Technology in Public Welfare Sports Education in the Era of Artificial Intelligence
title_fullStr	Application of Data Mining Technology in Public Welfare Sports Education in the Era of Artificial Intelligence
title_full_unstemmed	Application of Data Mining Technology in Public Welfare Sports Education in the Era of Artificial Intelligence
title_sort	application of data mining technology in public welfare sports education in the era of artificial intelligence
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/fa3a1913efbe4634bdaf919f2fc175de
work_keys_str_mv	AT xiaoyandong applicationofdataminingtechnologyinpublicwelfaresportseducationintheeraofartificialintelligence AT xiaohuahuang applicationofdataminingtechnologyinpublicwelfaresportseducationintheeraofartificialintelligence AT minlin applicationofdataminingtechnologyinpublicwelfaresportseducationintheeraofartificialintelligence
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Application of Data Mining Technology in Public Welfare Sports Education in the Era of Artificial Intelligence

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