Innovating web page classification through reducing noise

	Innovating web page classification through reducing noise
	Li, XL ; Shi, ZZ
	2002
发表期刊	JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY
ISSN	1000-9000
卷号	17 期号:1 页码:9-17
摘要	This paper presents a new method that eliminates noise in Web page classification. It first describes the presentation of a Web page based on HTML tags. Then through a novel distance formula, it eliminates the noise in similarity measure. After carefully analyzing Web pages, we design an algorithm that can distinguish related hyperlinks from noisy ones. We can utilize non-noisy hyperlinks to improve the performance of Web page classification (the CAWN algorithm). For any page, we can classify it through the text and category of neighbor pages related to the page. The experimental results show that our approach improved classification accuracy.
关键词	web page classification similarity measure classification algorithm without noise
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Hardware & Architecture ; Computer Science, Software Engineering
WOS记录号	WOS:000173631200002
出版者	SCIENCE CHINA PRESS
引用统计	被引频次：5[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/13542
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Li, XL
作者单位	1.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100080, Peoples R China 2.Natl Univ Singapore, Sch Comp, Singapore 117543, Singapore
推荐引用方式 GB/T 7714	Li, XL,Shi, ZZ. Innovating web page classification through reducing noise[J]. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,2002,17(1):9-17.
APA	Li, XL,&Shi, ZZ.(2002).Innovating web page classification through reducing noise.JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,17(1),9-17.
MLA	Li, XL,et al."Innovating web page classification through reducing noise".JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY 17.1(2002):9-17.