基于大数据的在校生消费行为引导和风险防范

Consumption Behavior Guidance and Risk Prevention of College Students Based on Big Data

原本被记录在一个个孤立的业务应用系统中的学生个人信息、学习信息、行为轨迹等数据在智慧校园的数据中心会被抽取、清洗、转换,通过大数据技术实现“主体虚拟映像”,以直接或间接的数据支撑决策分析、辅助预警研判。研究利用在校生在学校范围内有限的消费相关行为数据,通过整理、展现和分析及时反映学生的消费水平,预测消费趋势,并对其进行开源节流的引导。最后,给出基于学生举报、人工复核的风险网站大数据处理办法的公式设计,帮助做好风险防范工作。

Students'personal information,learning information,behavior track and other data which originally recorded in isolated business application systems will be extracted,cleaned and transformed in the data center of smart campus.The"virtual image of the main body"is realized through big data technology,which supports decision analysis and early warning research and judgment directly or indirectly.Based on the limited consumption related behavior data of students in school,this paper studies on how to reflect the consumption level of students in time,predict the consumption trend,and guide them to open up sources and reduce expenditure.Finally,a formula is designed for assessing risk when deal with the risk websites which committed by students themselves using big data processing.