DocumentCode
2980109
Title
An information gain feature extraction model for web filtering
Author
Wu, Lifang ; Liu, Dan ; Li, Xiu ; Li, Hongbo
Author_Institution
Res. Inst. of Electron. Sci. & Technol., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear
2012
fDate
22-24 June 2012
Firstpage
169
Lastpage
172
Abstract
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.
Keywords
Internet; computational complexity; information filtering; Web filtering; computational complexity; feature library; information gain; information gain feature extraction model; vector space model; Accuracy; Argon; Information filters; Characteristics item; information gain; style; vector space model; web filtering;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering and Service Science (ICSESS), 2012 IEEE 3rd International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4673-2007-8
Type
conf
DOI
10.1109/ICSESS.2012.6269432
Filename
6269432
Link To Document