Three Different Approaches for Fast Implementation of Deep Learning for Time Series Data
In this study, two major applications are introduced to develop advanced deep learning methods for credit-card data analysis. The proposed methods are validated by comparing benchmark experiments with other machine learnings. The experiments confirm that deep learning exhibits accuracy similar to that of the Gaussian kernel support vector machine (SVM). The proposed methods are also validated using a large scale transaction data set. Motivated by the experimental results, we propose three different fast approaches of deep learning for time series data.
Published in: World Congress on Internet Security (WorldCIS-2016)
- Date of Conference: 14-16 November 2016
- DOI: 10.2053/WorldCIS.2016.0015
- ISBN: 978-1-908320-66-7
- Conference Location: Heathrow Windsor Marriott Hotel, UK