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  • 标题:A Big Data-Based Data Mining Tool for Physical Education and Technical and Tactical Analysis
  • 本地全文:下载
  • 作者:Lili Pan
  • 期刊名称:International Journal of Emerging Technologies in Learning (iJET)
  • 印刷版ISSN:1863-0383
  • 出版年度:2019
  • 卷号:14
  • 期号:22
  • 页码:220-231
  • DOI:10.3991/ijet.v14i22.11345
  • 出版社:Kassel University Press
  • 摘要: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..
  • 关键词:physical education;technical and tactical analysis;data mining;big data analysis
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