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决策树挖掘算法在教评体系中的应用研究 被引量:5

Applied Research on Decision Tree FP-growth in Teaching Evaluation System
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摘要 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.
作者 孙艳
机构地区 胜利职业学院
出处 《廊坊师范学院学报(自然科学版)》 2009年第1期41-43,共3页 Journal of Langfang Normal University(Natural Science Edition)
关键词 教学质量评估 数据挖掘 决策树 ID3算法 teaching quality assessment data mining decision tree ID3 algorithm
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参考文献1

  • 1Anurag Srivastava,Eui-Hong Han,Vipin Kumar,Vineet Singh. Parallel Formulations of Decision-Tree Classification Algorithms[J] 1999,Data Mining and Knowledge Discovery(3):237~261

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