说明：  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.)