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这项研究针对台湾客户的违约支付情况,并比较了六种数据挖掘方法中的违约概率的预测准确性。
1. 字段描述
2. 数据预览
3. 字段诊断信息
4. 数据来源
Name: I-Cheng Yeh, email addresses: (1) icyeh '@' chu.edu.tw (2) 140910 '@' mail.tku.edu.tw, institutions: (1) Department of Information Management, Chung Hua University, Taiwan. (2) Department of Civil Engineering, Tamkang University, Taiwan. other contact information: 886-2-26215656 ext. 3181
5. 数据引用
Yeh I C, Lien C. The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients[J]. Expert Systems with Applications, 2009, 36(2): 2473-2480.
标签:信用卡,集请,tw,University,默认,edu,Department,数据 From: https://blog.51cto.com/u_15622928/5762608
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