Modeling the Trend of Credit Card Usage Behavior for Different Age Groups Based on Singular Spectrum Analysis
Abstract
:1. Introduction
2. Literature Review
2.1. On Analysis Based on SCPC Data
2.2. On Developments and Applications of Singular Spectrum Analysis
2.3. On Trend Studies of Credit Card Usage
3. Singular Spectrum Analysis
3.1. Decomposition
3.2. Reconstruction
4. Data Description
4.1. The Survey of Consumer Payment Choice
4.2. Credit Card Usage
5. Model Results
5.1. Decomposition
5.2. Reconstruction
6. Summary, Conclusions, and Future Work
Acknowledgments
Author Contributions
Conflicts of Interest
References
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Nai, W.; Liu, L.; Wang, S.; Dong, D. Modeling the Trend of Credit Card Usage Behavior for Different Age Groups Based on Singular Spectrum Analysis. Algorithms 2018, 11, 15. https://doi.org/10.3390/a11020015
Nai W, Liu L, Wang S, Dong D. Modeling the Trend of Credit Card Usage Behavior for Different Age Groups Based on Singular Spectrum Analysis. Algorithms. 2018; 11(2):15. https://doi.org/10.3390/a11020015
Chicago/Turabian StyleNai, Wei, Lu Liu, Shaoyin Wang, and Decun Dong. 2018. "Modeling the Trend of Credit Card Usage Behavior for Different Age Groups Based on Singular Spectrum Analysis" Algorithms 11, no. 2: 15. https://doi.org/10.3390/a11020015