Application of Data Mining Technology in the Subject Tactical Teaching of Badminton

Delin Yang


In badminton field tactics teaching, there are problems of not timely, inaccu-rate and incomplete data collection of completion cases, not deep enough da-ta and too few personalized training programs for athletes' tactics. Aiming at solving the above problems, the traditional Apriori association algorithm was optimized, and the algorithm was applied to the acquisition of badminton field tactics case data. Moreover, the multidimensional data mining was con-ducted, thus providing a scientific and personalized teaching plan for bad-minton field tactical teaching. The simulation experiments showed that data mining technology applied to badminton field tactics teaching could effec-tively put forward personalized teaching plan for data support from the tacti-cal point of view, and improve the effect of badminton field tactical teach-ing.


data mining technology; association algorithm; badminton; field tactical teaching

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Copyright (c) 2018 Delin Yang

International Journal of Emerging Technologies in Learning (iJET) – eISSN: 1863-0383
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