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2003 IEEE/WIC International Conference on Web Intelligence (WI'03)
Attribute Reduction of Rough Sets in Mining Market Value Functions
Halifax, Canada
October 13-October 17
ISBN: 0-7695-1932-6
ASCII Text
x 
 
Jiajin Huang, Chunnian Liu, Chuangxin Ou, Y.Y. Yao, Ning Zhong, "Attribute Reduction of Rough Sets in Mining Market Value Functions," Web Intelligence, IEEE / WIC / ACM International Conference on, pp. 470, 2003 IEEE/WIC International Conference on Web Intelligence (WI'03), 2003.
 
 
BibTex
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@article{ 10.1109/WI.2003.1241242,
author = {Jiajin Huang and Chunnian Liu and Chuangxin Ou and Y.Y. Yao and Ning Zhong},
title = {Attribute Reduction of Rough Sets in Mining Market Value Functions},
journal ={Web Intelligence, IEEE / WIC / ACM International Conference on},
volume = {0},
year = {2003},
isbn = {0-7695-1932-6},
pages = {470},
doi = {http://doi.ieeecomputersociety.org/10.1109/WI.2003.1241242},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Web Intelligence, IEEE / WIC / ACM International Conference on
TI - Attribute Reduction of Rough Sets in Mining Market Value Functions
SN - 0-7695-1932-6
SP
EP
A1 - Jiajin Huang,
A1 - Chunnian Liu,
A1 - Chuangxin Ou,
A1 - Y.Y. Yao,
A1 - Ning Zhong,
PY - 2003
KW - null
VL - 0
JA - Web Intelligence, IEEE / WIC / ACM International Conference on
ER -
 
Jiajin Huang, Beijing University of Technology
Chunnian Liu, Beijing University of Technology
Chuangxin Ou, Beijing University of Technology
Y.Y. Yao, University of Regina
Ning Zhong, Macbashi Institute of Technology
The linear model of market value functions is a new method for direct marketing. Just like other methods in direct marketing, attribute reduction is very important to deal with large databases. In the paper, we apply the algorithm of attribute reduction, which is based on the combination of rough set theory with the Boosting algorithm, to the linear model of market value functions. Experimental results compared with the ELSA/ANN model show that the proposed algorithms can be used effectively in the linear model of market value functions.
Citation:
Jiajin Huang, Chunnian Liu, Chuangxin Ou, Y.Y. Yao, Ning Zhong, "Attribute Reduction of Rough Sets in Mining Market Value Functions," wi, pp.470, 2003 IEEE/WIC International Conference on Web Intelligence (WI'03), 2003
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