摘要
目前的选课系统中数据仓库的数据堆积严重,其中的隐藏信息越来越难发现,通过数据挖掘技术可从浩瀚的数据库中提取所需的关键资源与其相关的数据信息。以选课系统为研究对象,通过改进的C4.5分类算法规划不同专业的学生选课,并通过一套实验数据为课程的搭配提供了一种切实可行的选课方案。
At present,the data in the data warehouse is seriously stacked in the course - selection system and the hidden information is difficult to find out. The key sources and their relevant data information can be extracted from the database by means of data extracting technology. Taking the course - selection system as the research object,this paper plans the course selection for the different majors by the means of improved C4. 5 classifying algorithm and provides a feasible course - selection project through a set of experiment data.
出处
《新余学院学报》
2014年第5期26-28,共3页
Journal of Xinyu University
关键词
决策树分类算法
学生选课系统
数据挖掘
classifying algorithm based on decision tree
student course selection system
data extraction
