Title :
Deep learning for credit card data analysis
Author_Institution :
Faculty of Systems Information Science, Future University Hakodate, 2-116 Kamedanakano, Hakodate, Hokkaido 041-8655, Japan
Abstract :
In this paper, two major applications are introduced to develop advanced deep learning methods for credit-card data analysis. The proposed methods are validated using benchmark experiments with other machine learnings. The experiments confirm that deep learning exhibits similar accuracy to the Gaussian kernel SVM.
Keywords :
"Machine learning","Credit cards","Machine learning algorithms","Sparks","Libraries","Data analysis","Data mining"
Conference_Titel :
Internet Security (WorldCIS), 2015 World Congress on
DOI :
10.1109/WorldCIS.2015.7359417
