A New Associative Classifier for Text Categorization

摘要：

Text categorization has become one of the keytechniques for handling and organizing text data.Inpractical text classification tasks,the ability tointerpret the classification result is as important as theability to classify exactly.Associative classifiers havemany favorable characteristics such as rapid training,good classification accuracy,and excellentinterpretation.In this paper,Closed-AC,which is anew associative classifier for text categorization,isproposed.Firstly,rough set is used to dimensionreduction.Then,only generic rules composed of closeditemsets are used for classification.Experimentalresults show benefits of the proposed associativeclassifier.

作者: Zhitong Su Wei Song Dan Meng Jinhong Li

作者单位: College of Information Engineering,North China University of Technology,Beijing 100144,China

会议类型: 国际会议

会议名称: 2008 3rd International Conference on Intelligent System and Knowledge Engineering(第三届智能系统与知识工程国际会议)(ISKE 2008)

会议地点: 厦门

会议语种:英文

页码: 291-295

在线出版日期: 2008-11-17（万方平台首次上网日期，不代表论文的发表时间）