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in Sports Training, the Training Load is the Most Important Factor That Affects the Sports Performance.
Reasonable Arrangement of Training Means, Load Amount and Load Intensity Before the Competition is the Key
and Basic Factor to Cause Athletes' Body Function Changes, Obtain Good Training Effect and Improve Sports
Performance. in This Study, Based on Data Mining Technology, Using the Methods of Literature Review,
Questionnaire Survey and Mathematical Statistics, the Weekly Load Characteristics and Physical Effects of
Physical Education and Training Are Comprehensively Studied, Aiming At Sorting out and Analyzing the
Characteristics and Laws of Players' Annual Periodic Physical Training Load, and Providing Theoretical and
Quantitative Indicators for the Formulation and Implementation of the Annual Periodic Physical Training Load of
Basketball Teams in China in the Future. the Results Show That Using Data Mining Technology to Analyze the
Application of Athletes' Healthy Sports Behavior Makes Sports Related Data Mining More Accurate and Statistical
Analysis More Reliable.