摘要
伴随着国家对困难学生的资助政策不断完善,各学校对困难学生的评定也采用了不同的办法,甚至同一学校不同学院也不同.为了找到一种相对行之有效的方法,首先对数据挖掘技术进行了分析,其次对它在数据挖掘方面的应用进行了描述,最后采用决策树分类方法对贫困学生的信息进行分类分析,得到了一些有用的可供参考的信息.
With the perfection of subsidy policies to relieve needy students from living difficulties, varied approaches have been adopted to evaluate needy students by colleges and universities. In some universities, the way applied to assess their students differs form college to college. In order to find a relatively effective way,data mining technology＂are put under close examination. Its application in data mining is also described. And in the end classification analysis is made of the information related to needy students by use of the decision tree analysis method, and some useful information for reference is thus gathered.
出处
《内江师范学院学报》
2010年第4期54-56,共3页
Journal of Neijiang Normal University
关键词
数据挖掘
分类
决策树
data mining
classification
decision tree
