Neural data mining for credit card fraud detection 论文
2003引用 361
Imbalanced Data Classification TechniquesData Mining Algorithms and ApplicationsFinancial Distress and Bankruptcy Prediction
详细信息
- 发表日期
- 2003-01-20
- 发表年份
- 2003
关键词
Imbalanced Data Classification TechniquesData Mining Algorithms and ApplicationsFinancial Distress and Bankruptcy Prediction
摘要
The prevention of credit card fraud is an important application for prediction techniques. One major obstacle for using neural network training techniques is the high necessary diagnostic quality: since only one financial transaction in a thousand is invalid no prediction success less than 99.9% is acceptable. Because of these credit card transaction requirements, completely new concepts had to be developed and tested on real credit card data. This paper shows how advanced data mining techniques and a neural network algorithm can be combined successfully to obtain a high fraud coverage combined with a low false alarm rate.