Abstract
As China is a major sporting nation, the daily training is the primary way to improve the level of sports skills, scientific and reasonable organization of targeted training is of great significance to athletes. Regardless of the type of sport, the development of technical and tactical training requires scientific data as a reference standard, and the data is integrated and analysed in depth for the development of training programmes. The emergence of data mining technology allows the results to be used directly in the training process and to develop individualised training programmes based on the actual requirements of the sport. This approach thus effectively solves the problem of training guidance due to the lack of traditional training data support and provides a new direction for training model optimisation.
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Huang, X., Cao, X. (2021). Research on the Application of Data Mining Techniques in the Construction of Sports Training Models. In: Xu, Z., Parizi, R.M., Loyola-González, O., Zhang, X. (eds) Cyber Security Intelligence and Analytics. CSIA 2021. Advances in Intelligent Systems and Computing, vol 1343. Springer, Cham. https://doi.org/10.1007/978-3-030-69999-4_109
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DOI: https://doi.org/10.1007/978-3-030-69999-4_109
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