{"title":"Deep learning for credit card data analysis","authors":"A. Niimi","doi":"10.1109/WorldCIS.2015.7359417","DOIUrl":null,"url":null,"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.","PeriodicalId":234497,"journal":{"name":"2015 World Congress on Internet Security (WorldCIS)","volume":"157 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 World Congress on Internet Security (WorldCIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WorldCIS.2015.7359417","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 21
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.