References
- 1. Apté, C., Weiss, S. (1997), “Data mining with decision trees and decision rules”, Future Generation Computer Systems, Vol. 13, No. 2-3, pp. 197-210.
- 2. Bhattacharyya, S., et al. (2011), “Data mining for credit card fraud: A comparative study”, Decision Support Systems, Vol. 50, No. 3, pp. 602-613.
- 3. Coussement, K., Van den Bossche, F. A., De Bock, K. W. (2014), “Data accuracy’s impact on segmentation performance: Benchmarking RFM analysis, logistic regression, and decision trees”, Journal of Business Research, Vol. 67, No. 1, pp. 2751-2758.
- 4. Huang, S. Y., Tsaih, R. H., Lin, W. Y. (2012), “Unsupervised neural networks approach for understanding fraudulent financial reporting”, Industrial Management & Data Systems, Vol. 112, No. 2, pp. 224-244.
- 5. Li, X. B. (2005), “A scalable decision tree system and its application in pattern recognition and intrusion detection”, Decision Support Systems, Vol. 41, No. 1, pp.112-130.
- 6. McCarty, J. A., Hastak, M. (2007), “Segmentation approaches in data-mining: A comparison of RFM, CHAID, and logistic regression”, Journal of Business Research, Vol. 60, No. 6, pp. 656-662.
- 7. Morais, A. I. (2013), “Why companies choose to lease instead of buy? Insights from academic literature”, Academia Revista Latinoamericana de Administración, Vol. 26, No. 3, pp. 432-446.
- 8. Ngai, E.W.T. et al. (2011), “The application of data mining techniques in financial fraud detection: A classification framework and an academic review of literature”, Decision Support Systems, Vol. 50, No. 3, pp. 559-569.
- 9. Sinha, A.T., Zhao, H. (2008), “Incorporating domain knowledge into data mining classifiers: An application in indirect lending”, Decision Support Systems, Vol. 46, No. 1, pp. 287-299.
- 10. Smith, C. W., Wakeman, L. M. (1985), “Determinants of corporate leasing activity”, Journal of Finance, Vol. 40, No. 3, pp. 895-911.
- 11. Tsang, S. et al. (2011), “Decision trees for uncertain data”, Knowledge and Data Engineering, IEEE Transactions on, Vol. 23, No. 1, pp. 64-78.
- 12. Wu, S. X., Banzhaf, W. (2010), “The use of computational intelligence in intrusion detection systems: A review”, Applied Soft Computing, Vol. 10, No. 1, pp. 1-35.