Application of decision tree in student achievement evaluation

摘要：

Base on the large amounts of data accumulated in educational Administration system lacking intelligent data analysis tools,decision tree analysis model of student achievement was built by using decision tree algorithms in data mining,the model had been optimized by using after pruning algorithm,and classification rules had been generated,it provided basis of decision making for educational reform. Experiments showed that the classification of decision tree constructed by C4.S algorithm had high accuracy.

关键词： data mining decision tree c4.5 algorithm after pruning

作者: xiaojian.long yuchun.wu

作者单位: School of Continuing Education Jinggangshan University Jian,Jiangxi ,China 343009 School of Electronic and Information Engineering Jinggangshan University Jian,Jiangxi,China 343009

会议类型: 国际会议

会议名称: 2012 International Conference on Computer Science and Electronic Engineering(2012 IEEE计算机科学与电子工程国际会议 ICCSEE 2012)

会议地点: 杭州

会议语种:英文

页码: 243-247

在线出版日期: 2012-03-23（万方平台首次上网日期，不代表论文的发表时间）