摘要
在教学管理工作中,学生成绩是衡量教学质量的主要依据之一。用决策树算法建立了关于学生成绩的分类规则和分析预测模型,描述了如何根据分析预测结果发现影响学生成绩的因素,进而有益于教师改进教学方法,提高学生的学习效果。选取决策属性,建立决策树,得出分类规则,结果表明本算法能够对学生数据进行正确分类,得到有价值的结论。
A classification rule and an analysis-forecasting model are establish by using decision tree algorithm for students＇ marks. Describing how the analysis-forecasting result can be used to find out the factors which can affect students＇ marks, some negative learning habits or behaviors of students can be revealed and corrected in time. And the teaching effect of the teacher can be checked, the teaching management can also be assisted, mean- while the effectiveness and correctness of analysis and forecasting model and classification for students＇ marks based on decision tree algorithm C4.5 have been examined by an example.
出处
《沈阳理工大学学报》
CAS
2013年第2期16-20,共5页
Journal of Shenyang Ligong University
关键词
数据挖掘
决策树
学生成绩
预测和分析
data mining
decision tree algorithm
students＇ marks
forecast and analysis
