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

Authors

  • Lili Pan College of Physical Education, Baoji University of Arts and Sciences

DOI:

https://doi.org/10.3991/ijet.v14i22.11345

Keywords:

physical education, technical and tactical analysis, data mining, big data analysis

Abstract


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.

Author Biography

Lili Pan, College of Physical Education, Baoji University of Arts and Sciences

Lili Pan (1985.03.19) female, born in Baoji, Shaanxi province. She is a postgraduate, and work in Baoji university of arts and sciences as a lecturer. She interests in physical education training and sports culture. In the undergraduate course teaching evaluation, she has made certain contribution to the teaching and research section, at the same time participated in the revision of "aerobics" teaching syllabus, often participated in teaching and research activities of the teaching and research section, teaching and research activities without being frequent. Actively participated in the judging work of aerobics and cheerleading competitions in various districts of Shaanxi province and Baoji city. In order to continuously improve my teaching skills, I published more than 10 papers, including 3 core journals, 3 utility model patents, and presided over and participated in 5 subjects.

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Published

2019-11-29

How to Cite

Pan, L. (2019). A Big Data-Based Data Mining Tool for Physical Education and Technical and Tactical Analysis. International Journal of Emerging Technologies in Learning (iJET), 14(22), pp. 220–231. https://doi.org/10.3991/ijet.v14i22.11345

Issue

Vol. 14 No. 22 (2019)

Section

Papers

License

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