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Research on data mining of education technical ability training for physical education students based on Apriori algorithm

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Abstract

At present, with the development of computer technology, more and more data mining technology is introduced into the education of Physical Education Students. Based on the Apriori algorithm, this paper studies the data mining of education technical ability training for students of physical education major. In this paper, we can dig out the rules that we are really interested in by introducing the lift_measure interest measurement. Meanwhile, aiming at the characteristics of mutual exclusion in data mining, it improves the shortcomings of classical Apriori algorithm, and improves the efficiency of mining frequent itemsets by Apriori algorithm. The improved AD-apriori algorithm can reduce the time complexity and space complexity of the mining process.

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Authors and Affiliations

  1. North China University of Water Resources and Electric Power, Zhengzhou, Henan, China

    Shuling Zhu

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  1. Shuling Zhu
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Correspondence to Shuling Zhu.

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Zhu, S. Research on data mining of education technical ability training for physical education students based on Apriori algorithm. Cluster Comput 22 (Suppl 6), 14811–14818 (2019). https://doi.org/10.1007/s10586-018-2420-8

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  • DOI: https://doi.org/10.1007/s10586-018-2420-8

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