摘要
文章介绍了基于数据挖掘决策树技术的学生成绩分析的实现过程,通过初期的数据采集、数据处理工作,然后利用ID3算法计算出各个属性的信息增益,最后采用具有最高信息增益的描述属性作为分枝属性,以此作为度量标准创建出学生成绩分析决策树并进行剪枝,研究最终的决策树,分析出对总成绩影响最大的因素有哪些.
The implementation of student achievenment analysis based on data mining decision tree were introduced in this paper. By the initial data collection, data processing, and using the ID3 algorithm to calculate the information gain of each attribute adescription properties with highest information gain was selected as sub sticks property. And on the basis of this, a metric of student achievement analysis and decision tree was created,and the biggest factors which impact on the overall score were analysised.
出处
《广东技术师范学院学报》
2015年第2期113-117,共5页
Journal of Guangdong Polytechnic Normal University
关键词
数据挖掘
决策树
ID3算法
成绩分析
data mining
decision tree
ID3 algorithm
student score analysis
