A Big Data-Based Data Mining Tool for Physical Education and Technical and Tactical Analysis

International Journal of Emerging Technologies in Learning (iJET)

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Field Value
 
Title A Big Data-Based Data Mining Tool for Physical Education and Technical and Tactical Analysis
 
Creator Pan, Lili; College of Physical Education, Baoji University of Arts and Sciences
 
Subject physical education; technical and tactical analysis; data mining; big data analysis
 
Description This paper attempts to develop a data mining tool to guide sports training, promote physical education and facilitate technical and tactical analysis. For this purpose, information techniques like mathematical statistics and big data analysis were employed to collect and analyse the information on competitive sports. Based on database and computer algorithm, the author designed a data mining tool applicable to the information of various competitive sports. The proposed tool can mine out valuable information from the big data, enabling trainers to realize targeted and efficient physical education. The mined information also helps improve the analysis of techniques and tactics of competitive sports. The research findings promote the application of information technology in physical education and competitive sports.
 
Publisher kassel university press GmbH
 
Contributor
 
Date 2019-11-29
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://online-journals.org/index.php/i-jet/article/view/11345
10.3991/ijet.v14i22.11345
 
Source International Journal of Emerging Technologies in Learning (iJET); Vol 14, No 22 (2019); pp. 220-231
1863-0383
 
Language eng
 
Relation https://online-journals.org/index.php/i-jet/article/view/11345/6155
 
Rights Copyright (c) 2019 Lili Pan
 

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