基于校园卡消费数据的学生消费水平判别模型建立  

Establishment of a Discriminant Model on Students'Consumption Level Based on Campus Card Consumption Data

作　　者：范媛 蔡敏 FAN Yuan;CAI Min(Information Center,China University of Petroleum(Beijing),Beijing 102249,China)

机构地区：[1]中国石油大学(北京)信息中心,北京102249

出　　处：《计算技术与自动化》2021年第2期148-153,共6页Computing Technology and Automation

摘　　要：校园卡系统是高校信息化建设的重要组成部分,使用校园卡可以在校内任意商户进行消费,通过对学生消费数据的分析研究可以得出学生的真实消费水平。通过对学生校园卡消费数据的分析,根据主成分分析确定学生消费中的决定性指标,并基于K-means聚类算法将学生消费水平分为四类,通过判别分析建立学生消费水平判别模型,可以判别出学生的消费水平情况,对学校决策及贫困生资助等工作提供了数据支持和决策辅助。The campus card system is an important part of college information construction.The campus card can be used for consumption at any businesses on campus,through the analysis of student campus card consumption data,students'real consumption level can be obtained.This article analyzes student campus card consumption data,determines the decisive indicators of student consumption based on principal component analysis,and classifies student consumption levels into four categories based on K-means clustering algorithm.Through discriminant analysis,a discriminant model of students'consumption level can be established to distinguish students'consumption level,which provides the data support and decision-making assistance for the school decision-making andpoor students'support.

关 键 词：校园卡系统 数据分析 K-MEANS算法 消费水平 判别模型 

分 类 号：TP392[自动化与计算机技术—计算机应用技术]