• DocumentCode
    3714132
  • Title

    Deep learning for credit card data analysis

  • Author

    Ayahiko Niimi

  • Author_Institution
    Faculty of Systems Information Science, Future University Hakodate, 2-116 Kamedanakano, Hakodate, Hokkaido 041-8655, Japan
  • fYear
    2015
  • Firstpage
    73
  • Lastpage
    77
  • 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"
  • Publisher
    ieee
  • Conference_Titel
    Internet Security (WorldCIS), 2015 World Congress on
  • Type

    conf

  • DOI
    10.1109/WorldCIS.2015.7359417
  • Filename
    7359417
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3714132