PLS Logistic Regression Application in Credit Card Data Mining

摘要：

The credit card evaluation is an important application for prediction techniques. One major obstacle for using neural network or other training techniques is the large number of variables in credit card data: Over 100 variables and half of them may be related to the target variables, and most of these valuables are related each other. This paper shows how PLSR can be used in data pre-processing and it is very useful in improving the accuracy of data mining.

关键词： PLSR logistic regression credit card data mining

作者: Liu Yingchun Yi Bin Wang Shengshuai

作者单位: Beijing University of Aeronautics and Astronautics, Beijing 100083, China

会议类型: 国际会议

会议名称: The 6th International Conference on Partial Least Squares and Related Methods(第六届偏最小二乘及相关方法国际会议)

会议地点: 北京

会议语种:英文

页码: 241-243

在线出版日期: 2009-09-04（万方平台首次上网日期，不代表论文的发表时间）