摘要
在高校学生精准资助工作中,应用ID3决策树算法构建高校学生精准资助等级认定模型,以学生信息数据为基础,判别认定工作中数据类别的优先级关系,构建决策树模型,提升高校家庭经济困难学生资助等级认定的可量化程度,提高认定工作的公平、公正程度,为高校开展精准资助工作提供可操作方法。
In the precision subsidy work for college students,the ID3 decision tree algorithm is used to construct the model of identifying the rating of college students’precision subsidy.The model of decision tree is constructed based on the data of student information,so as to identify the priority relationship of the data categories in the identification work.The model can improve the quantifiable degree for identifying the rating of precision subsidy for college students with family economic difficulties,can improves the fairness and impartiality of the identification work,and can provide an operational method for the university’s carry outing the work of precision subsidy.
作者
刘鸣
许钟元
齐云鹤
Liu Ming;Xu Zhongyuan;Qi Yunhe(School of Mechanical and Electrical Engineering,Harbin Engineering University,Harbin 150001,China)
出处
《黑河学院学报》
2019年第10期118-120,140,共4页
Journal of Heihe University
基金
中国高等教育学会2018年高校学生工作课题“基于大数据的贫困生精准资助体系研究”(LX2018Y041)
2019年度国家级大学生创新创业训练计划“基于决策树模型的高校学生精准资助策略研究”
关键词
高校学生
决策树算法
大数据
精准资助
college students
decision tree algorithm
big data
precision subsidy
