Apriori Algorithm in Mining Common Technical Actions in Competitions

Yong Cheng

2025

Abstract

The application of basketball technology in basketball games is crucial, but there are unreasonable running and defensive problems. Basic technique teaching does not solve the problem of passing between the marches of basketball games, and the evaluation is not reasonable. Therefore, this paper proposes an Apriori algorithm for technical analysis of passing between marches. Firstly, statistical theory is used to evaluate athletes, and indicators are divided according to the requirements of basketball technical actions to reduce the interference factors in basketball technical actions. Then, the statistical theory evaluates the passing technique between the athletes, forms a basketball technical action mining scheme, and comprehensively analyzes the basketball technical action mining results. MATLAB simulation shows that under certain evaluation criteria, the technical strategy and confrontation of Apriori algorithm for passing between athletes are better than basic technical teaching.

Paper Citation

in Harvard Style

Cheng Y. (2025). Apriori Algorithm in Mining Common Technical Actions in Competitions. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 418-424. DOI: 10.5220/0013544700004664

in Bibtex Style

@conference{incoft25,
author={Yong Cheng},
title={Apriori Algorithm in Mining Common Technical Actions in Competitions},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT},
year={2025},
pages={418-424},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013544700004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT
TI - Apriori Algorithm in Mining Common Technical Actions in Competitions
SN - 978-989-758-763-4
AU - Cheng Y.
PY - 2025
SP - 418
EP - 424
DO - 10.5220/0013544700004664
PB - SciTePress