决策树C4.5算法分析及其在多媒体网络教学评价中的应用

Decision-Tree C4.5 Algorithm Analysis and Its Application in Multimedia Network Teaching Appraisal

C4.5算法是决策树学习的核心算法,与ID3算法相比,C4.5算法是ID3算法的改进,并继承了ID3算法的全部优点,文章给出了决策树构造思想和C4.5决策树学习算法,并将其应用于多媒体网络教学评价之中,采用C4.5决策树算法对教学评价数据进行预处理,选取决策属性,实现挖掘算法并抽取规则知识,C4.5算法能够更好地修正ID3的剪枝算法,并将多媒体网络教学评价进行分类,算法简单且生成速度快,通过生成的决策树,生成可理解的规则.

The C4.5 algorithm is the decision tree study core algorithm. Compared with ID3 algorithm, C4.5 algorithm is an improved ID3 algorithm, and it inherited the entire ID3 algorithm＇s merit. This article has given the decision tree structure thought and the C4.5 decision tree study algorithm, and applies it during the multimedia network teaching appraisal. The paper uses the C4.5 decision tree algorithm to preprocess the data and chooses the decision attributes first, then draws the rules, which shows that what attributes determine the classification of the multimedia network teaching appraisal. The results of data mining indicate that the algorithm can classify the teaching appraisal data properly and get some valuable information for decision making.