基于校园大数据的学生异常行为分析模型

Student Anomaly Behavior Analysis Model Based on Campus Big Data

随着信息化时代的到来,各学校都在大力建设智慧校园,主要包括寝室门禁系统、图书借阅系统、教务管理系统、消费系统、医疗、签到等项目,学生在学校通过一张卡就能完成消费、就餐、图书借阅、医疗、出入寝室、签到、上网等活动。笔者主要基于智慧校园应用系统产生的学生数据进行学生异常行为分析,探讨了系统架构的组成,分析了七种学生异常行为模型,并由此提出了建设智慧校园的建议。

With the advent of the information era,the schools are in the building of smart campus,including dormitory access system,library management system,educational management system,consumption system,medical treatment,attendance and other projects,students in the school through a card to complete consumption,dining,library,medical,and dormitory,attendance,Internet etc.activity.Based on the student data generated by the smart campus application system,the author analyzes the abnormal behavior of students,discusses the composition of the system structure,analyzes seven kinds of student abnormal behavior models,and puts forward the suggestion for building smart campus.