| C4.5决策树法在网络课程知识点个性化设计中的应用 |
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| 引用本文： | 马伟杰.C4.5决策树法在网络课程知识点个性化设计中的应用[J].河南广播电视大学学报,2012(3):108-110. |
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| 作者姓名： | 马伟杰 |
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| 作者单位： | 郑州航空工业管理学院计算机科学与应用系 |
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| 基金项目： | 郑州航空工业管理学院教育教学科学研究基金项目(项目编号:2010103003) |
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| 摘 要： | 决策树是归纳学习和数据挖掘的重要方法,通常用来形成分类器和预测模型。对网络课程知识点个性化设计中的大量数据,运用数据挖掘算法中的决策树C4.5算法对所给数据进行处理,选取决策属性,构造决策树,提取分类规则,获取每一个知识点与不同类型的学生之间的关系。通过实验仿真发现,C4.5决策树算法取得了较为理想的分类预测效果。
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| 关 键 词： | C4.5算法 决策树 网络课程 知识点个性化 |
Application of C4.5 Algorithm on Personalized Knowledge Points of Web-based Course Decision |
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| Ma Weijie.Application of C4.5 Algorithm on Personalized Knowledge Points of Web-based Course Decision[J].Journal of Henan Radio & TV University,2012(3):108-110. |
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| Authors: | Ma Weijie |
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| Institution: | Ma Weijie(Zhengzhou Institute of Aeronautic Industry Management,Zhengzhou,Henan,450015) |
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| Abstract: | Decision tree is an important method of data mining and inductive learning and usually used to form classification and prediction model.The large amounts of data of Personalized knowledge points of Web-based Course decision,used the C4.5 decision tree algorithm to process,select decision attributes,construct a decision tree,classify rule extraction so as to obtain the relationship of knowledge points and students.Through the experiment discovery,the results of experiments demonstrated that C4.5 decision tree algorithm can obtain good results of classification. |
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| Keywords: | C4 5 algorithm decision tree web-based course personalized knowledge points |
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