NDLI: Study on Web-Page Classification Algorithm Based on Rough Set Theory

Content Provider	IEEE Xplore Digital Library
Author	Shiqun Yin Fang Wang Zhong Xie Yuhui Qiu
Copyright Year	2008
Description	Author affiliation: Fac. of Comput. & Inf. Sci., Southwest Univ., Chongqing (Shiqun Yin; Fang Wang; Zhong Xie; Yuhui Qiu)
Abstract	The large number of Web-page documents is comprise high dimensional huge text database with the development of Internet technology. But it is only a very small portion with the relevant users. The Web-page should be assigned to a category structure through the Web-page classification technology. it is not only convenient for customers to browse Web-page, but also easier to make Web-page seek through restriction search scope. Mining in high dimensional data is extraordinarily difficult because of the curse of dimensionality. We must adopt feature select to solve these problems. A algorithm is given in this paper to reduce the Web-page feature term and extract classification rule at last used attribute reduction on rough set theory. Experimental results show that this method has been greatly reduced feature vector space dimension and gotten easy-to-understand classification rules, and its accuracy is higher and the speed of classification is faster than based on the classification of vector comparison.
Starting Page	202
Ending Page	206
File Size	333092
Page Count	5
File Format	PDF
ISBN	9780769531519
DOI	10.1109/ISIP.2008.118
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-05-23
Publisher Place	Russia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Feature selection Decision making vector space model Classification algorithms Web-page Rough set Information science Classification rule Databases Space technology Web mining Information processing Set theory Feature extraction Internet
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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