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

In badminton field tactics teaching, there are problems of not timely, inaccurate and incomplete data collection of completion cases, not deep enough data 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 conducted, thus providing a scientific and personalized teaching plan for badminton field tactical teaching. The simulation experiments showed that data mining technology applied to badminton field tactics teaching could effectively put forward personalized teaching plan for data support from the tactical point of view, and improve the effect of badminton field tactical teaching.