摘要
随着高校的扩招,学生的数量越来越大,传统的对学生成绩的统计分析方法已不适应深入分析的需要。针对学生情况数据库应用数据挖掘中的ID3算法进行了情况分类,并对得到的结果进行了分析,得出了影响学生成绩的内部原因以及其它一些结论。
As the result of the enrollment scale of universities expanding, the number of students in universities increased gradually during these years, which lead the conventionally used statistical analysis methods on students＇ scores not to match the need of in-depth analysis. To solve this problem, a students＇ information database was analyzed and the ID3 algorithms in data mining were used to classify the information, and then the inner-causes influencing students＇ scores were concluded.
出处
《计算机工程与设计》
CSCD
北大核心
2006年第4期590-592,共3页
Computer Engineering and Design
基金
河北省教育厅科研计划基金项目(2001206)
关键词
数据挖掘
学习成绩分析
决策树
ID3算法
data mining
analysis of students＇grades
decision tree
ID3 algorithm
