Mining Analysis for College Students' Physical Performance and Fitness Tests

Gao-Xuan Wang
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引用次数: 1

Abstract

According to actual demand for system analysis, this paper designs and develops data mining analysis system of college students' physical performance and physical ability test data, Based on data mining technology in physical performance management and physical ability analysis application. The system takes test data of college athletes' physical ability as analysis object. It applies data mining technology and solves physical ability index optimization of athletes' physical ability. We introduce principle and method of association rule mining, propose and realize the algorithms which are appropriate for college students' physical index operation analysis. Then, this method will be applied to construct rule tree with specific cases, and to evaluate athletes' physical ability status, obtaining related and valuable physical teaching reference. Finally, through example test and analysis, the system is verified to be accuracy in related functions and it has practical application value to use data mining-based method to solve these problems.
大学生体能测试的挖掘分析
本文根据系统分析的实际需求,设计并开发了基于数据挖掘技术的大学生体能成绩和体能测试数据数据挖掘分析系统,将数据挖掘技术应用于体能成绩管理和体能分析。系统以高校运动员体能测试数据为分析对象。应用数据挖掘技术,解决运动员体能指标优化问题。介绍了关联规则挖掘的原理和方法,提出并实现了适合大学生物理指标操作分析的关联规则挖掘算法。然后,将该方法应用于具体案例构建规则树,对运动员的体能状况进行评价,获得相关且有价值的体育教学参考。最后,通过实例测试和分析,验证了系统相关功能的准确性,使用基于数据挖掘的方法解决这些问题具有实际应用价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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