摘要
准确认定贫困生资格,是高校公平、公正、合理分配国家资助资源的先决条件.将数据挖掘的决策树方法引入高校贫困生资格认证分析中,利用C4.5算法创建决策树,挖掘学生信息和贫困种类关系的历史数据,建立学生信息—贫困种类智能评价模型.通过实验仿真发现,C4.5决策树算法取得了较为理想的分类预测效果.
The accurate identification of needy students was the prerequisite to allocate the funding resources to students impartially, fairly and reasonably. The data mining method of decision tree was introduced to analyze the types of needy college students. Intelligent evaluation model for needy college students based on C4.5 decision tree algorithm was established by the historical data of students information and types of poverty. Through the simulation experiment, the results demonstrated that C4.5 decision tree algorithm can obtain good results of classification.
出处
《河南教育学院学报（自然科学版）》
2012年第3期27-30,共4页
Journal of Henan Institute of Education(Natural Science Edition)
基金
河南省科技厅科技攻关计划项目(122102210227)
关键词
C4.5算法
决策树
贫困生认定
C4.5 algorithm
decision tree
determination of needy college students
