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Ensemble PROBIT Models to Predict Cross Selling of Home Loans for Credit Card Customers

Ensemble PROBIT Models to Predict Cross Selling of Home Loans for Credit Card Customers

Hualin Wang, Yan Yu, Kaixia Zhang
Copyright: © 2008 |Volume: 4 |Issue: 2 |Pages: 7
ISSN: 1548-3924|EISSN: 1548-3932|ISSN: 1548-3924|EISBN13: 9781615202041|EISSN: 1548-3924|DOI: 10.4018/jdwm.2008040103
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MLA

Wang, Hualin, et al. "Ensemble PROBIT Models to Predict Cross Selling of Home Loans for Credit Card Customers." IJDWM vol.4, no.2 2008: pp.15-21. http://doi.org/10.4018/jdwm.2008040103

APA

Wang, H., Yu, Y., & Zhang, K. (2008). Ensemble PROBIT Models to Predict Cross Selling of Home Loans for Credit Card Customers. International Journal of Data Warehousing and Mining (IJDWM), 4(2), 15-21. http://doi.org/10.4018/jdwm.2008040103

Chicago

Wang, Hualin, Yan Yu, and Kaixia Zhang. "Ensemble PROBIT Models to Predict Cross Selling of Home Loans for Credit Card Customers," International Journal of Data Warehousing and Mining (IJDWM) 4, no.2: 15-21. http://doi.org/10.4018/jdwm.2008040103

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Abstract

Ensemble a set of PROBIT models to predict the likelihood of buying a home loan from the current company which has the credit card base customers. The buying rate is very low and data is very limited. This approach offers a stable and robust way to solve this extremly difficult and yet very common business problem.

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