摘要
设计了一个web文本分类系统,采用了基于统计分析和粗糙集组合的方法进行降维;降维时考虑了属性的位置信息,采用加权方式标注属性的不同重要性,以达到提高分类速度和分类准确度的目的。
This paper designs a web page categorization system, which uses SVM classifier. It reduces attributes through a method, which combines statistic method and Rough set. At the same time, the system endues different attribute with different authority based on the location of attributes in a web page. The system aims to improve the classifier's rate and result.
作者
张东娜
刘博
ZHANG Dong-na,LIU Bo (1.Dept. of Computer, Zhuhai College of Jilin University,Zhuhai 519004,China;2.TEC Avei Electric (Zhuhai) Co., Ltd.Zhuhai 519040, China)
出处
《电脑知识与技术》
2008年第3期1234-1235,1278,共3页
Computer Knowledge and Technology