Cost-Sensitive-Data Preprocessing for Mining Customer Relationship Management Databases

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	Similar Articles Articles by Junfeng Pan Articles by Qiang Yang Articles by Yiming Yang Articles by Lei Li Articles by Frances Tianyi Li Articles by George Wenmin Li

January/February 2007 (vol. 22 no. 1)

pp. 46-51

	ASCII Text	x
	Junfeng Pan, Qiang Yang, Yiming Yang, Lei Li, Frances Tianyi Li, George Wenmin Li, "Cost-Sensitive-Data Preprocessing for Mining Customer Relationship Management Databases," IEEE Intelligent Systems, vol. 22, no. 1, pp. 46-51, January/February, 2007.

	BibTex	x
	@article{ 10.1109/MIS.2007.7, author = {Junfeng Pan and Qiang Yang and Yiming Yang and Lei Li and Frances Tianyi Li and George Wenmin Li}, title = {Cost-Sensitive-Data Preprocessing for Mining Customer Relationship Management Databases}, journal ={IEEE Intelligent Systems}, volume = {22}, number = {1}, issn = {1541-1672}, year = {2007}, pages = {46-51}, doi = {http://doi.ieeecomputersociety.org/10.1109/MIS.2007.7}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - MGZN JO - IEEE Intelligent Systems TI - Cost-Sensitive-Data Preprocessing for Mining Customer Relationship Management Databases IS - 1 SN - 1541-1672 SP46 EP51 EPD - 46-51 A1 - Junfeng Pan, A1 - Qiang Yang, A1 - Yiming Yang, A1 - Lei Li, A1 - Frances Tianyi Li, A1 - George Wenmin Li, PY - 2007 KW - data mining KW - cost-sensitive-data preprocessing KW - ensemble of classifiers VL - 22 JA - IEEE Intelligent Systems ER -

Junfeng Pan, Hong Kong University of Science and Technology

Qiang Yang, Hong Kong University of Science and Technology

Yiming Yang, Sun Yat-sen University

Lei Li, Sun Yat-sen University

Frances Tianyi Li, Guangzhou E-DM Tech Corporation

George Wenmin Li, Guangzhou E-DM Tech Corporation

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MIS.2007.7

Telecommunications companies and financial institutions are facing increasing competition. A staged preprocessing framework for cost-sensitive-data processing can help these companies identify customers who might switch to a competitor (or churn). The framework gives users an intuitive idea of the data distribution using a self-organizing map and then uses a cost matrix to help convert the data with an improved equidepth discretization method. The preprocessed data set can be input to any classifier. When tested on the KDD Cup 1998 data set, the framework performed better than the competition's winner. It has also been implemented in a software product called ED-Money and applied to a Chinese mobile telecommunication data set.

Index Terms:

data mining, cost-sensitive-data preprocessing, ensemble of classifiers

Citation:

Junfeng Pan, Qiang Yang, Yiming Yang, Lei Li, Frances Tianyi Li, George Wenmin Li, "Cost-Sensitive-Data Preprocessing for Mining Customer Relationship Management Databases," IEEE Intelligent Systems, vol. 22, no. 1, pp. 46-51, Jan./Feb. 2007, doi:10.1109/MIS.2007.7

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