ANALYSIS OF ATHLETES’ RUNNING ABILITY DATA MINING ALGORITHM BASED ON THE DYNAMIC CHARACTERISTICS OF FOOTBALL PLAYERS

ABSTRACT In 2008, our country successfully held the Olympic Games, where China won the most gold medals. After these Olympic Games, China has also become a world sports power. Our country’s table tennis, diving, skating and other sports are also in the leading ranks in the world. In this study, according to the current training status of Chinese football players, we used data mining algorithm to analyze the unawareness of acceleration and speed of Chinese athletes in the running process. In this study, these indicators were quantified and analyzed, which has successfully promoted the training level of Chinese football players.

摘要 2008年，我国成功举办奥林匹克运动会，中国在该届赛事中斩获最多金牌。此次奥运会后，中国亦跻身世界体育强国之列。我国乒乓球、跳水、滑冰等运动项目均位居世界领先行列。本研究针对中国足球运动员当前的训练现状，采用数据挖掘算法分析了我国运动员在奔跑过程中对加速度与速度的感知盲区。本研究对上述指标进行了量化分析，有效提升了中国足球运动员的训练水平。