摘要
在教学管理工作中,学生成绩是评估教学质量的重要依据,多种因素可能对学生成绩造成影响。利用数据挖掘工具,对学生的学习成绩进行预测分析,利用预测分析结果,及时指正学生出现的不良学习行为,检查老师的教学效果。应用决策树C4.5算法建立学生成绩预测分析模型及分类规则,找出影响学生成绩的因素,有效的辅助教学管理工作。
In teaching management,students＇marks is important gist of evaluate to teaching quality. Many factor affects possibly students＇marks. Students＇marks was forecasted and analysed with data mining tool. The result of forecast and analyse was use to point out badness learning habit of students,and check teaching effect. Decision tree （C4.5） algorithm was use to establish the forecasting ＆ analyzing model and sorting rule for students＇ marks,and effectively assist teaching management.
出处
《微计算机信息》
2010年第3期209-211,共3页
Control & Automation
关键词
数据挖掘
决策树算法
学生成绩
预测分析
data mining
decision tree algorithm
students’marks
forecast analysis
