摘要
为解决当前奖学金评价与量化时数据量丢失过大的问题,本文提出基于大数据技术的高校奖学金评价与量化方法.该方法利用大数据技术聚合有限的数据,筛选数据集合中的有效数据,按照有效数据赋值评价高校奖学金,离散处理数据瞬间数值,赋值不同领域的离散值,实现高校奖学金评价结果与量化处理.实验结果表明,本文方法的数据丢失量较小,评价结果具有实际应用价值.
In order to solve the problem of excessive data loss in the current scholarship evaluation and quantification,a method for college scholarship evaluation and quantification based on big data technology is proposed.Use big data technology to aggregate limited data,filter valid data in the data set,evaluate college scholarships according to valid data assignment,discretely process data instantaneous values,assign discrete values in different fields,and realize college scholarship evaluation results and quantitative processing.The experimental results show that the data loss of the method in this paper is small,and the evaluation results have practical application value.
作者
潘娟娟
杨柳
PAN Juanjuan;YANG Liu(Department of Economic Management,Shijiazhuang Tiedao University Sifang College,Shijiazhuang Hebei 051132,China)
出处
《信息与电脑》
2020年第22期230-231,共2页
Information & Computer
基金
石家庄铁道大学四方学院科研专项资金资助项目“高校奖学金多维度评价体系构建与量化方法研究”(项目编号:K201905)。
关键词
大数据技术
高校奖学金
评价
量化
应用
big data technology
university scholarship
evaluation
quantification
application