摘要
随着互联网技术的高速发展,数据挖掘技术在高校得到了广泛应用。同时,智慧校园的兴起,使大学生的各种校园行为开始以数据的形式存储在数据库或数据仓库中。如何利用这些数据理性地分析教务和教学中各方面的成效得失以及找到有关影响学生成绩的因素,是广大教师们共同关心的问题。大学生作为祖国建设的主力军,身体素质的好坏将直接影响到我国现代化建设的进程,文章从大学生的体育成绩着手,通过整理、分析,借用IBM SPSS Modeler工具,通过关联规则挖掘算法发现了其间存在的问题以及各项成绩之间的关联关系,为学生体质与健康水平的提高和体育教学的改进提供了有价值的信息。
With the rapid development of Internet technology,data mining has been widely used in colleges and universities. At the same time, because of the rising of wisdom campus, all kinds of campus behavior of college students start to stored in the database or data warehouse in the form of data. It is a common concern of all the teachers that use the data to analysis the gain and loss of students＇ per- formance in educational and teaching and find relevant factors that influence the student learning rationally. As the main force of the moth- edand construction, the physical body quality will directly affect the process of modernization in our country. This article starts with the college students＇ PE performance to find the problems and the relationship between the performance through collation and analysis, by using the tool of IBM SPSS Modeler and the association rules for mining, providing a valuable information to improve the physical and healthy level and the physical education.
出处
《自动化与仪器仪表》
2017年第8期225-227,共3页
Automation & Instrumentation
基金
西安邮电大学教改项目<基于大学生校园行为画像的人才培养质量监控新模式研究>(JGB201518)
关键词
数据挖掘
体育成绩
关联规则
data mining
PE performance
association rules
