An Information Gain Feature Extraction Model for Web Filtering

摘要：

The selection and extraction of characteristics item is an important part of the web filtering features sets constructed. This paper presents a method of feature extraction based on information gain which can construct the query feature library effectively during on study of web filtering in vector space model. Test results show that this method is superior to traditional one in feature extraction, and improved the accuracy of the web filtering, reduced the computational complexity effectively.

关键词： information gain web filtering style vector space model Characteristics item

作者: Lifang Wu Dan Liu Xiu Li Hongbo Li

作者单位: Research Institute of Electronic Science and Technology of University of Electronic Science and Technology of China,Chengdu, Sichuan Province, P.R. China

会议类型: 国际会议

会议名称: 2012 IEEE 3rd International Conference on Software Engineering and Service Science(第三届IEEE软件工程与服务科学国际会议 ICSESS2010)

会议地点: 北京

会议语种:英文

页码: 169-172

在线出版日期: 2012-06-22（万方平台首次上网日期，不代表论文的发表时间）