摘要
ID3算法是进行数据分类分析的经典决策树数据挖掘算法,应用广泛。文中阐述了ID3算法基本原理以及近年来许多学者对该算法的一些改进。最后将该算法运用到高校教师教学质量评价体系中,通过建立有关教师教学质量属性的决策树模型,实现依据教学质量对教师进行分类,通过肯定或否定形成激励作用,从而促进教师教学质量的提高与教育教学的发展。
The ID3 Decision Tree arithmetic is classical algorithms in the area of Data Mining and on a large scale.This paper ex pounds basic theory and some improvements made by many scholars of ID3 algorithms.Finally,the algorithms is applied to the teacher's teaching quality evaluation system of colleges and universities.Then we can realize classification of teachers according to the quality of education by constructing decision tree,so that teachers can predict their teaching quality and aware the defects and shortcomings of themselves.
出处
《电脑知识与技术》
2013年第7X期4877-4880,共4页
Computer Knowledge and Technology
关键词
决策树
ID3算法
分类
数据挖掘
教学质量
decision tree
D3 algorithm
classify
data mining
quality of teaching
