loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
2003 IEEE/WIC International Conference on Intelligent Agent Technology (IAT'03)
Classification Rule Discovery with Ant Colony Optimization
Halifax, Canada
October 13-October 17
ISBN: 0-7695-1931-8
ASCII Text
x 
 
Bo Liu, Hussein A. Abbass, Bob McKay, "Classification Rule Discovery with Ant Colony Optimization," Intelligent Agent Technology, IEEE / WIC / ACM International Conference on, pp. 83, 2003 IEEE/WIC International Conference on Intelligent Agent Technology (IAT'03), 2003.
 
 
BibTex
x
 
@article{ 10.1109/IAT.2003.1241052,
author = {Bo Liu and Hussein A. Abbass and Bob McKay},
title = {Classification Rule Discovery with Ant Colony Optimization},
journal ={Intelligent Agent Technology, IEEE / WIC / ACM International Conference on},
volume = {0},
year = {2003},
isbn = {0-7695-1931-8},
pages = {83},
doi = {http://doi.ieeecomputersociety.org/10.1109/IAT.2003.1241052},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Intelligent Agent Technology, IEEE / WIC / ACM International Conference on
TI - Classification Rule Discovery with Ant Colony Optimization
SN - 0-7695-1931-8
SP
EP
A1 - Bo Liu,
A1 - Hussein A. Abbass,
A1 - Bob McKay,
PY - 2003
KW - null
VL - 0
JA - Intelligent Agent Technology, IEEE / WIC / ACM International Conference on
ER -
 
Bo Liu, Guangxi University, Nanning, China
Hussein A. Abbass, University of New South wales, Australia
Bob McKay, University of New South wales, Australia
Ant-based algorithms or ant colony optimization (ACO) algorithms have been applied successfully to combinatorial optimization problems. More recently, Parpinelli and colleagues applied ACO to data mining classification problems, where they introduced a classification algorithm called Ant_Miner. In this paper, we present an improvement to Ant_Miner (we call it Ant_Miner3). The proposed version was tested on two standard problems and performed better than the original Ant_Miner algorithm.
Citation:
Bo Liu, Hussein A. Abbass, Bob McKay, "Classification Rule Discovery with Ant Colony Optimization," iat, pp.83, 2003 IEEE/WIC International Conference on Intelligent Agent Technology (IAT'03), 2003
Usage of this product signifies your acceptance of the Terms of Use.