[1]冯菁 姚宏亮.ID3算法在教学质量评价中的应用研究[J].计算机技术与发展,2011,(06):250-253.
　FENG Jing,YAO Hong-liang.Application of ID3 Algorithm in Teaching Quality Evaluation[J].,2011,(06):250-253.
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ID3算法在教学质量评价中的应用研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2011年06期
页码:
250-253
栏目:
应用开发研究
出版日期:
1900-01-01

文章信息/Info

Title:
Application of ID3 Algorithm in Teaching Quality Evaluation
文章编号:
1673-629X（2011）06-0250-04
作者:
冯菁 姚宏亮
合肥工业大学计算机与信息学院
Author(s):
FENG Jing; YAO Hong-liang
School of Computer and Information,Hefei University of Technology
关键词:
数据挖掘; 教学质量评价; ID3算法; 决策树
Keywords:
data mining;  teaching quality evaluation;  ID3 algorithm;  decision tree
分类号:
G434
文献标志码:
A
摘要:
决策树是数据挖掘中的一种分类算法,它是一种以实例为基础的归纳学习算法,来发现数据模式和规则。介绍了数据挖掘的定义及分类,详细介绍了决策树ID3算法。又根据ID3算法,对院校中收集的大量教学评价数据样本进行分析,获得不同属性上的信息增益,生成最终决策树,可将此树转换成一个if—then规则的集合。生成规则和决策树,然后对新数据进行分析和预测。通过数据建模以发现规律和模式,从而提取有价值的信息,避免目前教学质量评价中的不合理性,实例验证和分析的结果表示该方法的有效性。为教学质量评价提供合理、科学的决策支持,从而提高教学质量,改进教学成果
Abstract:
Decision tree algorithm is a classical data mining classification algorithm,it＇s one of inductive learning based on instances.And it can be used for classification and prediction tasks.First,introduces the definition as well as the main technologies of data mining.Then,it describes the ID3 algorithm in details,and optimizes the ID3 algorithm.The basic ideas and implementation methods of ID3 algorithm is discussed.A kind of date mining algorithm ID3 has been used in the processing of the teaching quality evaluation date,and some rules are established.Meanwhile,advices on how to improve the defects are put forward.Evaluation of teaching quality is a very important part of teaching process,this decision information for the teaching manager to improve the quality of teaching,so as to continuously improve the quality of education

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备注/Memo

备注/Memo:
国家自然科学基金项目（61070131）冯菁（1974-），女，硕士，高级工程师，研究方向为数据挖掘；姚宏亮，博士，副教授，主要研究方向为数据挖掘与机器学习
更新日期/Last Update: 1900-01-01