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A Data Mining Approach to Classify Credit Cardholders? Behavior
Hong Kong, China December 18-December 22
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDMW.2006.4Sixth IEEE International Conference o ...
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Aihua Li, Yong Shi, Meihong Zhu, Jingran Dai, "A Data Mining Approach to Classify Credit Cardholders? Behavior," Data Mining Workshops, International Conference on, pp. 828-832, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06), 2006.
 
 
BibTex
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@article{ 10.1109/ICDMW.2006.4,
author = {Aihua Li and Yong Shi and Meihong Zhu and Jingran Dai},
title = {A Data Mining Approach to Classify Credit Cardholders? Behavior},
journal ={Data Mining Workshops, International Conference on},
volume = {0},
year = {2006},
isbn = {0-7695-2702-7},
pages = {828-832},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDMW.2006.4},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Data Mining Workshops, International Conference on
TI - A Data Mining Approach to Classify Credit Cardholders? Behavior
SN - 0-7695-2702-7
SP828
EP832
A1 - Aihua Li,
A1 - Yong Shi,
A1 - Meihong Zhu,
A1 - Jingran Dai,
PY - 2006
KW - null
VL - 0
JA - Data Mining Workshops, International Conference on
ER -
 
Aihua Li, Graduate University of Chinese Academy of Sciences
Yong Shi, Graduate University of Chinese Academy of Sciences
Meihong Zhu, Capital University of Economics and Business, Beijing, China
Jingran Dai, Rensselaer Polytechnic Institute, Troy, New York USA
Credit cardholders? behavior analysis is an important issue to be studied. Multi-criteria linear programming (MCLP) classification method has shown its advantage in fast speed and balanced classification accuracy on this problem. However, dimension reduction is necessary before some classification methods implementing, not only for faster classification speed but also for commercial knowledge discovering. In this paper, a data mining approach based on the combination of MCLP and Principal Component Analysis (PCA) is proposed, and the influence of PCA on MCLP classification method is studied. One dataset, which comes from a bank in US, is used to test the performance of this approach, and the advantage of this classification method is shown by experiments.
Citation:
Aihua Li, Yong Shi, Meihong Zhu, Jingran Dai, "A Data Mining Approach to Classify Credit Cardholders? Behavior," icdmw, pp.828-832, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06), 2006
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