基于数据挖掘的排球运动员身体素质评价模型

Data mining based physical quality evaluation model for volleyball athletes

塑造基于数据挖掘的排球运动员身体素质评价模型,通过数理统计法挖掘出排球运动员包含的五大身体素质结构特征,依据该五大身体素质特征,获取排球运动员身体素质代表指标。基于不同指标的身体素质代表指标的素质因子旋转后的特征值,与不同因子旋转后的总特征值的比值可得到运动员身体素质因子代表指标的权重系数。基于该权重系数可获取基于数据挖掘的排球运动员身体素质评价模型,并采用该模型对运动员的训练、比赛以及身体素质进行有效的评价。采用因子分析对设计的基于数据挖掘的排球运动员身体素质评价模型进行检验,结果显示该评价模型是可靠的。

The data mining based physical quality evaluation model for volleyball athletes is established. The five structure features of the volleyball athletes physical quality are mined with the mathematical statistics. According to the five physical quality features,the representative indicators of the volleyball athletes physical quality is acquired. On the basis of the ratio of the rotated characteristic value of the quality factor representing the physical quality of different indicators to the rotated total characteristic value of different factors,the weight coefficient of the representative indicator of the athletes physical quality factor is obtained. On the basis of the weight coefficient,the volleyball athletes physical quality evaluation model based on data mining is acquired. The model is used to train the athletes,and evaluate the game and physical quality effectively. The factor analysis is adopted to test the designed volleyball athletes physical quality evaluation model based on data mining. The test results show that the evaluation model is reliable.