节点文献
分类挖掘及其在学生保持工程中的应用
Classification Mining and its Application in Student Retention Project
【摘要】 随着教育市场化与信息化进程的推进,学生保持越来越受人关注了,而传统的学生资源管理方法已经很难适应新的教育环境。在此篇文章中我们简述了分类挖掘技术并分析了学生保持工程中的学生流失问题,在此基础上,我们将决策树分类模型运用到学生资源数据仓库的挖掘系统中,并取得了较好的效果。
【Abstract】 With advance of the information revolution and education marketization, concern over student retention has grown, however, traditional student resource management is becoming more difficult to adapt itself to new educational environments. This paper introduces classification data mining technology and analyzes student loss in student retention project. Further, decision tree model is applied to the mining system in student resources warehouse and get effective results.
【关键词】 数据挖掘;
学生保持;
分类;
民办教育;
【Key words】 Data Mining; Student Retention; Classification Non-government Schools;
【Key words】 Data Mining; Student Retention; Classification Non-government Schools;
- 【文献出处】 现代教育技术 ,Modern Educational Technology , 编辑部邮箱 ,2004年06期
- 【分类号】TP311.52
- 【被引频次】4
- 【下载频次】116