决策树挖掘算法在教评体系中的应用研究

Applied Research on Decision Tree FP-growth in Teaching Evaluation System

对高校教学质量评估体系中学生的大量评教数据和教师的档案数据进行数据挖掘,重点研究决策树方法中的ID3算法在教学质量评估体系中的应用。利用决策树挖掘算法挖掘影响教学质量的关键因素,找出数据的内在规律,并对挖掘结果进行分析,从中提取有用信息,才能更好地为管理决策分析提供科学依据。

In this paper, carring on data mining for the file data of teachers and a large number of the data of student to teaching of the assessment system of teaching quality in high school, focus on reserching the application of ID3 decision tree algorithm in the quality of teaching in the System. Appling decision tree algorithm for mining the key factor of impacting on the quality of teaching, finding out the inside regulation of data, and analyzing the results of mining, extracting useful information from them in order to better management decisions based on scientific analysis.