The Comparisons of Data Mining Techniques for the Predictive Accuracy of Probability of Default of Credit Card Clients

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Title:	The Comparisons of Data Mining Techniques for the Predictive Accuracy of Probability of Default of Credit Card Clients
Authors:	葉怡成 Yeh, I-Cheng
Contributors:	資訊管理學系 Information Management
Keywords:	banking;neural;mining
Date:	2009
Issue Date:	2014-06-27 01:42:57 (UTC+8)
Abstract:	This research aimed at the case of customers’ default payments in Taiwan and compares the predictive accuracy of probability of default among six data mining methods. From the perspective of risk management, the result of predictive accuracy of the estima
Appears in Collections:	[Department of Information Management] Journal Articles

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