摘要
针对现有数据分析系统实际响应时间过长的问题,在关联规则的支持下,设计一种大学生体质测试健康数据分析系统.搭建系统硬件结构,设计数据采集电路,控制硬件电路的功率输出,优化大学生体质测试健康数据采集过程;构建体质健康关联规则,采用二分模型控制函数阈值,结合JAVA技术,将大学生体质测试健康数据分析系统划分为登录模块、数据管理模块、数据分析模块以及数据回调模块等不同的模块,确定体质测试数据集,生成实际所需的健康数据分析规则,完成大学生体质测试健康数据分析.实验结果表明:完成一次数据分析后,可分辨的数据项数量与实际的健康数据项数值相等,且系统响应时间最短.
Aiming at the problem that the actual response time of the existing data analysis system is too long,a data analysis system of College Students’physical fitness test is designed under the support of association rules.Build the hardware structure of the system,design the data acquisition circuit,control the power output of the hardware circuit,optimize the data acquisition process of College Students’physical fitness test;This paper constructs the association rules of physical health,uses the dichotomy model to control the function threshold,and combines Java technology to divide the college students’physical health data analysis system into login module,data management module,data analysis module and data callback module,determines the physical test data set,and generates the actual health data analysis rules,Complete the analysis of College Students’physical fitness test health data.The experimental results show that:after a data analysis,the number of distinguishable data items is equal to the actual health data items,and the system response time is the shortest.
作者
朱春
ZHU Chun(Department of Physical Education,Wuhu Vocational and Technical College,Anhui 241003,China)
出处
《吉林化工学院学报》
CAS
2021年第7期53-58,共6页
Journal of Jilin Institute of Chemical Technology
关键词
关联规则
大学生体质测试
健康数据
分析系统
association rules
physical fitness test of college students
health data
analysis system