An applied study on credit scoring model in customer(cosmetics) mining

作者：Yang Mei; Zhang Shuguang

来源：International Symposium on Financial Engineering and Risk Management, 2008-06-08 to 2008-06-10.

• credit scoring
• discriminant analysis
• logistic regression
• K-nearest neighbor classsification
• support vector machines

The paper attempts to build models by way of various credit scoring models, based on the database of some domestic cosmetics company. These models include linear discriminant analysis method, logistic regression method, K-nearest neighbor classification method (KNN) and support vector machines (SVMs), whose results have been analyzed comparatively to look forward to gained optimal scoring model which is fit for the customers data. The model can be used to increase advertisments' response rate.

• 出版日期2008
• 单位中国科学技术大学