Research On Present Situation and Development Path of Basketball Amateur Training based on Statistical Data Analysis

Ming Mo

Physical Education Department, Changsha Aeronautical Vocational and Technical College, Changsha, 410124, China

Abstract: In order to quantify the present situation and development path of amateur basketball training, a model of basketball amateur training status and development path planning based on statistical data analysis is proposed. The statistical data mining model of the present situation and development path of amateur basketball training is constructed, and the statistical data analysis of the present situation and development path of amateur basketball training is carried out by using the method of extracting correlation features. Combined with fuzzy scheduling and clustering methods, the self-adaptive classification and recognition of basketball amateur training status and development path statistics are realized. Adaptive big data classification recognition and attribute partition method are used to realize pattern recognition and fusion of basketball development correlation statistics. Regression analysis and decision statistical analysis are combined to realize the optimal design of basketball amateur training status and development path planning model. The simulation results show that the statistical data analysis ability of this method for basketball amateur training and development path is strong, and the performance of data clustering fusion is better. The basketball amateur training present situation and the development path planning and the quantitative analysis ability is improved.

Keywords: Statistical data analysis; Basketball amateur training; Development path planning; Big data mining