loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Sixth International Conference on Parallel and Distributed Computing Applications and Technologies (PDCAT'05)
Web Document Classification Based on Extended Rough set
Dalian, China
December 05-December 08
ISBN: 0-7695-2405-2
ASCII Text
x 
 
Gaoxiang Yi, Heping Hu, Zhengding Lu, "Web Document Classification Based on Extended Rough set," Parallel and Distributed Computing Applications and Technologies, International Conference on, pp. 916-919, Sixth International Conference on Parallel and Distributed Computing Applications and Technologies (PDCAT'05), 2005.
 
 
BibTex
x
 
@article{ 10.1109/PDCAT.2005.251,
author = {Gaoxiang Yi and Heping Hu and Zhengding Lu},
title = {Web Document Classification Based on Extended Rough set},
journal ={Parallel and Distributed Computing Applications and Technologies, International Conference on},
volume = {0},
year = {2005},
isbn = {0-7695-2405-2},
pages = {916-919},
doi = {http://doi.ieeecomputersociety.org/10.1109/PDCAT.2005.251},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Parallel and Distributed Computing Applications and Technologies, International Conference on
TI - Web Document Classification Based on Extended Rough set
SN - 0-7695-2405-2
SP916
EP919
A1 - Gaoxiang Yi,
A1 - Heping Hu,
A1 - Zhengding Lu,
PY - 2005
KW - null
VL - 0
JA - Parallel and Distributed Computing Applications and Technologies, International Conference on
ER -
 
Gaoxiang Yi, Huazhong University of Science and technology,Wuhan,Hubei, China
Heping Hu, Huazhong University of Science and technology,Wuhan,Hubei, China
Zhengding Lu, Huazhong University of Science and technology,Wuhan,Hubei, China
A VSM algorithm for Web document classification based on an extended rough set --Tolerance Rough Set is proposed. Firstly, Web document are denoted by vector space model with terms. Then the value of term co-occurrence is made used of description of tolerance class of term, which extends the capability of term to document. Finally, Web document classification algorithm is implemented, in which the similarity between documents is described by term tolerance class. Experiments using data sets collected from two Web portals: Yahoo and Open Directory Project are conducted.
Citation:
Gaoxiang Yi, Heping Hu, Zhengding Lu, "Web Document Classification Based on Extended Rough set," pdcat, pp.916-919, Sixth International Conference on Parallel and Distributed Computing Applications and Technologies (PDCAT'05), 2005
Usage of this product signifies your acceptance of the Terms of Use.