Application of SVM in web page categorization.

GrC（2006）

引用 3|浏览2

暂无评分

摘要

Web page classification is an important research direction for web mining. This paper gives some methods for representation of web page, studies on several aspects of support vector machine (SVM) for structural risk minimization concepts of statistical learning theory. The web page classifier and algorithm based on SVM is proposed. Cross validation method is used to select parameters of SVM classifier. The experimental results show that SVM provides an effective method for web page categorization and has promising application in web mining.

查看译文

关键词

indexing terms,risk management,web mining,computer science,cross validation,support vector machines,web pages,structural risk minimization,kernel function,kernel,support vector machine,explosives

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要