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Recent Trends in Intelligent Computing, Communication and Devices pp 245–252Cite as

ID3-Based Classification of College Students’ Physical Fitness Data

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1006))

Abstract

This paper uses the ID3 algorithm to analyze and extract the classification rules hidden in the original data of the physical fitness test of junior college students in mobile app platform database of “Running Shida”. These classification rules are highly consistent with the actual data in the database and are highly consistent with the results of individual survey of students. The forecasting conclusion of these classification rules is of great significance for quickly and scientifically determining students’ physique, putting forward reasonable suggestions for sports training and promoting the reform of “integration in-and-outside class” teaching mode of physical education in colleges and universities.

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Author information

Authors and Affiliations

  1. School of Computer Science, Xi’an Shiyou University, Xi’an, Shaanxi, China

    Gang Ma & Liumei Zhang

  2. Department of Physical Education, Xi’an Shiyou University, Xi’an, Shaanxi, China

    Shoubang Li

Authors
  1. Gang Ma
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  2. Liumei Zhang
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  3. Shoubang Li
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Corresponding author

Correspondence to Gang Ma .

Editor information

Editors and Affiliations

  1. Victoria Business School, Victoria University of Wellington, Wellington, New Zealand

    Vipul Jain

  2. Department of Computer Science and Engineering, Faculty of Engineering and Technology, SOA University, Bhubaneswar, Odisha, India

    Srikanta Patnaik

  3. University "Politehnica" of Bucharest, Bucharest, Romania

    Florin Popențiu Vlădicescu

  4. Department of Computer Science and Engineering, Oakland University, Rochester, MI, USA

    Ishwar K. Sethi

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Ma, G., Zhang, L., Li, S. (2020). ID3-Based Classification of College Students’ Physical Fitness Data. In: Jain, V., Patnaik, S., Popențiu Vlădicescu, F., Sethi, I. (eds) Recent Trends in Intelligent Computing, Communication and Devices. Advances in Intelligent Systems and Computing, vol 1006. Springer, Singapore. https://doi.org/10.1007/978-981-13-9406-5_30

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