摘要
目前,我国已逐步建立起"奖、贷、助、补、减、免"等多种形式有机结合的较为完善的高校贫困生资助政策体系,但高校贫困生问题依然是社会各界高度关注的焦点。本文以高校"校园一卡通"消费流水数据为基础,提出将数据挖掘技术应用于高校贫困生消费信息管理中的一种新思路,并设计了高校贫困生消费信息数据挖掘模型的具体方案。拟建立高校贫困生正常和异常两种消费行为模式,以期挖掘贫困生的动态生活消费水平,为贫困生评定工作提供辅助依据,提高贫困大学生的生活水平。
At present, China has gradually established a complete policy system funding poor college students, including＂award, loan, assistance, subsidy, deduction, exemption＂, etc.. However, the problem of disadvantaged college students is still a focal point of the community. Based on the campus cards＂ consumption data, the paper puts forward a new idea of applying data mining in poor college students＂ consumption information management and designs a data mining model. The paper tends to establish normal and abnormal patterns of consumption behavior of the poor college students in order to find out their actual living standards, provide assistance for the assessment, and improve the living standards of these students.
出处
《湖南商学院学报》
2011年第6期45-49,共5页
Journal of Hunan Business College
基金
贵州省教育厅自然科学研究青年项目<数据挖掘在贵州省高校贫困生评定管理中的应用研究>(编号:黔教科20100095)
关键词
高校贫困生
消费
数据挖掘
disadvantaged college students
consume
data mining
