Decision Tree Construction Algorithm Based on Association Rules

摘要：

　　With the rapid development of Internet,there are more and more products information exist on the Internet.In order to facilitate the retrieval,how to classify these information automatically is becoming much more essential.So far there are many text-based classification models such as Decision Tree Model,Rule Induction Model,Bayes Model,and SVM Model and so on.In this paper,we present a new model which uses association rules to construct decision tree.The model theoretically has the better effect and the experimental results show the effectiveness of the model.

关键词： Text-based classification Term association Decision tree

作者: Yong Peng Yanming Ye Jianwei Yin

作者单位: College of Computer Science Zhejiang University Hangzhou,China

会议类型: 国际会议

会议名称: 2012 2nd International Conference on Computer Application and System Modeling(2012第二届计算机应用与系统建模国际会议)(ICCASM-2012)

会议地点: 沈阳

会议语种:英文

页码: 754-756

在线出版日期: 2012-07-27（万方平台首次上网日期，不代表论文的发表时间）