数据挖掘技术在智慧班牌系统中的应用研究

Applications of Data Mining Technology in Smart Class Card System

随着信息化技术的迅速发展,各高校教务管理系统、校园一卡通系统、图书借阅系统通过统一身份认证,实现了系统间相互访问、数据共享,但缺少对这些系统间数据整体的挖掘和分析,也没有对数据的展现进行延展,仅局限于移动端和PC端。面向数据分析的智慧班牌系统运用改进的C4.5算法、k-means算法,从多维度分析学生课程成绩、课堂考勤、生活消费、上网等信息,从而为学校管理部门提供决策依据。数据分析的结果通过智慧班牌系统实时在校园各场所动态展示。

With the rapid development of information technology,the educational administration management system,campus card system and book borrowing system have achieved mutual access and data sharing through unified identity authentication.However,it lacks the overall data mining and analysis among these systems,and does not extend the data display,which is only limited to the mobile terminal and PC terminal.The intelligent class card system for data analysis uses the improved C4.5 algorithm and K-means algorithm to analyze the students'course performance,class attendance,life consumption,Internet and other information from multiple dimensions,so as to provide decision-making basis for school management department.The results of data analysis are displayed dynamically in various places on campus through smart class card system.