摘要
将基于包含度的数据挖掘方法引入到高职学生VC成绩的分析之中,得出了有意义的约简和针对性的规则,通过实验研究,表明该方法得到的实用规则,在以后提高教学绩效方面具有较大实用价值。
This paper introduces the data mining method based on the similarity degree into the score analysis of the students of higher vocational college, and obtains significant reduction and direction rules, and through the experimental research, proves that these practical rules obtained with the method possesses greater practical value in improving the teaching performance in the future.
出处
《科技情报开发与经济》
2009年第5期99-101,共3页
Sci-Tech Information Development & Economy
关键词
粗糙集
包含度
数据挖掘
rough set
similarity degree
data mining
