Tennis is a very explosive, continuous, and intense sport, including many continuous short-term explosive actions. It has the characteristics of short-term, high-intensity, high-density training, and it belongs to the category of purely competitive skills. In the competition, athletes must maintain good physical condition, physical fitness, and long-term endurance in order to demonstrate outstanding technical and tactical skills. Therefore, this paper proposes a mobile processor performance data mining framework MobilePerfMiner, which uses hardware counters and iteratively uses the XGBoost algorithm to build a performance model, ranks the importance of the microarchitecture events of the big data task, and reduces the performance big data dimension, so as to optimize the big data algorithm according to the performance characteristics described. Undoubtedly, the comprehensive monitoring of the sports training process is complex system engineering. The main monitoring includes three aspects: physical condition, technical and tactical skills, and intelligence. Sports technology is reflected in the ultimate load. According to the convenience and actual needs of the research, this article will discuss the methods of evaluating tennis training load and the actual technical and tactical parameter characteristics that can be obtained by studying the characteristics of tennis, namely, kinematics. Parameters for noncontact testing, the next step is to discuss the appropriateness and necessity of the load, as well as the technical and routine monitoring of tennis training ability. The final experimental results show that it can improve the physical energy of tennis players by more than 17%.

中文翻译：

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基于数据挖掘和移动计算的网球运动员体能指标优化分析

网球是一项非常具有爆发力、持续性、高强度的运动，其中包括许多连续的短期爆发性动作。它具有短期、高强度、高密度训练的特点，属于纯竞技技能的范畴。在比赛中，运动员必须保持良好的身体状态、身体素质和长期耐力，才能展现出杰出的技战术技能。因此，本文提出了移动处理器性能数据挖掘框架MobilePerfMiner，该框架采用硬件计数器，迭代使用XGBoost算法构建性能模型，对大数据任务微架构事件的重要性进行排序，降低性能大数据维度。 ，从而根据所描述的性能特征优化大数据算法。无疑，对运动训练过程的综合监控是一项复杂的系统工程。主要监测包括身体状况、技战术技能、智力三个方面。运动技术体现在极限负荷上。根据研究的方便和实际需要，本文将讨论评估网球训练负荷的方法，以及通过研究网球运动学的特性可以得到的实际技战术参数特性。对于非接触式测试参数，下一步是讨论负荷的适当性和必要性，以及网球训练能力的技术和常规监测。最终的实验结果表明，它可以使网球运动员的体能提高17%以上。