Abstract
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.
Highlights
Badminton is a very popular movement, and it is the focus gold medal project in the Olympic Games
The importance of technology and tactics on various items is divided into three levels, which are decisive, important and basic, and the level that affects the network project is classified as decisive factor
Technical and tactical decision in badminton sport is mainly based on the personal experience of the coaches
Summary
Badminton is a very popular movement, and it is the focus gold medal project in the Olympic Games. The importance of technology and tactics on various items is divided into three levels, which are decisive, important and basic, and the level that affects the network project is classified as decisive factor. This shows that, in the badminton, whether technique and tactics are applied properly are the decisive factors affecting the outcome of the game. Technical and tactical decision in badminton sport is mainly based on the personal experience of the coaches. To improve the technical and tactical level of badminton sports, we are supposed to establish a scientific and tactical support system, and through the study of the tactical rules of badminton, to assist the coaches to do scientific decision-making
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