{"title":"信用卡数据分析的深度学习","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":"{\"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}","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}
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.
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