loading...
An Improved Attribute Reduction Algorithm Based on Rough Set
Haier International Training Center, Qingdao, China July 30-August 01
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SNPD.2007.181Eighth ACIS International Conference ...
 This Article 
 
Buy PURCHASE ARTICLE: $19
PDF
HTML
Buy IEEE Xplore Subscribers
 
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
ASCII Text
x 
 
Haijun Wang, Shaoliang Wei, Yimin Chen, "An Improved Attribute Reduction Algorithm Based on Rough Set," Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on, vol. 3, pp. 1007-1010, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007.
 
 
BibTex
x
 
@article{ 10.1109/SNPD.2007.181,
author = {Haijun Wang and Shaoliang Wei and Yimin Chen},
title = {An Improved Attribute Reduction Algorithm Based on Rough Set},
journal ={Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on},
volume = {3},
year = {2007},
isbn = {0-7695-2909-7},
pages = {1007-1010},
doi = {http://doi.ieeecomputersociety.org/10.1109/SNPD.2007.181},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on
TI - An Improved Attribute Reduction Algorithm Based on Rough Set
SN - 0-7695-2909-7
SP1007
EP1010
A1 - Haijun Wang,
A1 - Shaoliang Wei,
A1 - Yimin Chen,
PY - 2007
KW - null
VL - 3
JA - Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on
ER -
 
Haijun Wang, Shanghai University, China
Shaoliang Wei, Shanghai University, China
Yimin Chen, Shanghai University, China
An improved heuristic attribute reduction algorithm based on the attribute frequency is presented. After analyzing many other attribute reduction algorithms, we utilize the discernibility matrix and the appeared attribute frequencies to determine each attribute?s significance, based on the principle of maximum attribute frequency,we achieved the reduction of the information system. An illustrative example demonstrate the algorithm?s effectiveness and validity.
Citation:
Haijun Wang, Shaoliang Wei, Yimin Chen, "An Improved Attribute Reduction Algorithm Based on Rough Set," snpd, vol. 3, pp.1007-1010, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007
Usage of this product signifies your acceptance of the Terms of Use.