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2006 First International Multi-Symposiums on Computer and Computational Sciences
Particle Swarm Algorithm for Minimal Attribute Reduction of Decision Data Tables
Hangzhou, Zhejiang, China
June 20-June 24
ISBN: 0-7695-2581-4
ASCII Text
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Jianhua Dai, Weidong Chen, Hongying Gu, Yunhe Pan, "Particle Swarm Algorithm for Minimal Attribute Reduction of Decision Data Tables," Computer and Computational Sciences, International Multi-Symposiums on, vol. 2, pp. 572-575, 2006 First International Multi-Symposiums on Computer and Computational Sciences, 2006.
 
 
BibTex
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@article{ 10.1109/IMSCCS.2006.249,
author = {Jianhua Dai and Weidong Chen and Hongying Gu and Yunhe Pan},
title = {Particle Swarm Algorithm for Minimal Attribute Reduction of Decision Data Tables},
journal ={Computer and Computational Sciences, International Multi-Symposiums on},
volume = {2},
year = {2006},
isbn = {0-7695-2581-4},
pages = {572-575},
doi = {http://doi.ieeecomputersociety.org/10.1109/IMSCCS.2006.249},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Computer and Computational Sciences, International Multi-Symposiums on
TI - Particle Swarm Algorithm for Minimal Attribute Reduction of Decision Data Tables
SN - 0-7695-2581-4
SP572
EP575
A1 - Jianhua Dai,
A1 - Weidong Chen,
A1 - Hongying Gu,
A1 - Yunhe Pan,
PY - 2006
KW - null
VL - 2
JA - Computer and Computational Sciences, International Multi-Symposiums on
ER -
 
Jianhua Dai, Zhejiang University, China
Weidong Chen, Zhejiang University, China
Hongying Gu, Zhejiang University, China
Yunhe Pan, Zhejiang University, China
Attribute reduction is an important issue when dealing with huge amounts of data. It has been proved that computing the minimal reduct of a decision data table is NP-complete. Particle swarm algorithm is a new population based stochastic optimization strategy inspired by social behavior of bird flocking and fish schooling. In this paper, a novel particle swarm algorithm for the minimal reduction problem is proposed. Our algorithm gives a new idea to the minimal reduction problem. The implementation techniques of the algorithm are presented. The effectiveness is showed in the experiment.
Citation:
Jianhua Dai, Weidong Chen, Hongying Gu, Yunhe Pan, "Particle Swarm Algorithm for Minimal Attribute Reduction of Decision Data Tables," imsccs, vol. 2, pp.572-575, 2006 First International Multi-Symposiums on Computer and Computational Sciences, 2006
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