참고문헌
- J. Y. Kang, S. Y. Jeong, D. W. Hong, and C. H. Seo, "A study on synthetic data generation based safe differentially private GAN," Journal of The Korea Institute of Information Security & Cryptology, vol. 30, no. 5, pp. 945-956, 2020. DOI: 10.13089/JKIISC.2020.30.5.945.
- D. S. Hong and C. Baik, "Comparison of resampling methods for generating learning data for predicting the default of individual business," Proceedings of KIIS Spring Conference 2021, vol. 31, no. 1, pp. 61-62, 2021.
- J. P. Reiter, "Using CART to generate partially synthetic public use microdata," Journal of Official Statistics, vol. 21, no. 3, pp. 441-462, 2005.
- I. J. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio, "Generative adversarial nets," In Proceedings of the 27th Neural Information Processing Systems, vol. 2, pp. 2672-2680, 2014.
- D. P. Kingma and M. Welling, "Auto-encoding variational bayes," In International Conference on Learning Representations, pp. 1-14, 2013.
- T. Chen and C. Guestrin, "Xgboost: Ascalable tree boosting system," In Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 785-794, 2016. DOI: 10.1145/2939672.2939785.
- L. Xu and K. Veeramachaneni, "Synthesizing tabular data using generative adversarial networks," arXiv:1811.11264, 2018.
- SDV (Synthetic Data Vault) CopulaGAN Model [Internet], Available: https://sdv.dev/SDV/user_guides/single_table/copulagan.html.
- L. Xu, Modeling tabular data using conditional GAN. Massachusetts Institute of Technology [Online], 2017, Available: https://dai.lids.mit.edu/wp-content/uploads/2020/02/Lei_SMThesis_neo.pdf.
- L. Zhou, "Performance of corporate bankruptcy prediction models on imbalanced dataset: The effect of sampling methods," Knowledge-Based Systems, vol. 41, pp. 16-25, 2013. DOI: 10.1016/j.knosys.2012.12.007.
- E. I. Altman, "Financial ratios, discriminant analysis and the predication of corporate bankruptcy," Journal of Finance, vol. 23, no. 4, pp. 589-609, 1968. DOI: 10.1111/j.1540-6261.1968.tb00843.x.
- Korea Credit Information Services (KCIS), [Internet], Available: http://www.kcredit.or.kr/eng/index.do.
- D. S. Hong, H. J. Baeck, and H. J. Shin, "The credit information feature selection method in default rate prediction model for individual businesses," Journal of The Korea Society for Simulation, vol. 30, no. 1, pp. 75-85, 2021. DOI: 10.9709/JKSS.2021.30.1.075.