基于分类规则的大学生体质测试数据挖掘的应用研究——以西安石油大学三年级学生为例

Application Study on Mining of University Students' Physical Fitness Test Data Based on Classification Rules:Taking the Juniors of Xi'an Shiyou University as an Example

对分类分析的概念、决策树的性质进行了分析并给出了ID3算法的实现过程。以西安石油大学为例,采用ID3算法分析并提取了隐藏于"跑动石大"体质测试手机APP平台数据库的大三学生体质测试原始数据中的分类规则,这些分类规则和数据库中的实际数据高度一致,与学生个体调研的结果高度吻合。这些分类规则的预测结论,对于快速科学地判定学生的体质,有针对性地提出合理的运动训练建议,促进高校体育"课内外一体化"教学模式改革都有重要意义。

The concept of classification and the nature of decision tree are analyzed,and the implementation process of ID3 algorithm is given.Taking Xi'an Shiyou University as anexample,ID3 algorithm is used to analyze and extract the classification rules hidden in the original data of junior students'physique test based on"Running Shida"mobile phone APP platform database.These classification rules are highly consistent with the actual data in the database,and highly consistent with the results of individual student surveys.The predictive conclusion of these classification rules is of great significance to the quick and scientific judgment of students'physique,the reasonable sports training suggestions of each student and the reform of the"integration of teaching inside and outside class"mode of college physical education.