How to cite this paper
Soltan, A & Mohammadi, M. (2012). A hybrid model using decision tree and neural network for credit scoring problem.Management Science Letters , 2(5), 1683-1688.
Refrences
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Chiang, R., Chua, C.E., Lim, E. (2005). Linear correlation discovery in databases: a data mining approach. Data & Knowledge Engineering, 53, 311-337.
Chang, H.J., et al. (2007). An anticipation model of potential customers & apos; purchasing behavior based on clustering analysis and association rules analysis. Expert Systems with Applications, 32, 753-764.
Chua, C.E.H., Chiang, R.H.L., & Lim, E.P. (2002). An intelligent middleware for linear correlation discovery. Decision Support Systems, 32, 313-326.
Goodhart, C. (2011). The Basel Committee on Banking Supervision. Cambridge University.
Lee, T.S. et al. (2002). Credit scoring using the hybrid neural discriminant technique. Expert Systems with Applications, 23, 245-254.
Lee, T.-S., & Chen, N.-J. (2002). Investigating the information content of non-cash-trading index futures using neural networks. Expert Systems with Applications, 22, 225-234.
Moretto, M., & Tamborini, R. (2007). Firm value, illiquidity risk and liquidity insurance. Journal of Banking & Finance, 31, 103-120.
Pan, J.Y., Yang, H.J., Faloutsos, C., & Duygulu, P. (2004). Automatic multimedia cross-modal correlation discovery. In Proceedings of the 10th ACM SIGKDD Conference KDD 2004. Seattle, WA, 653-658.
Robert, P.J.K., & Johnson, R. (2011). Elementary Statistics. 11th Edition ed.: Brooks/Cole, (2011).
Siddiqi, N. (2005). Credit Risk Scorecards: Developing and Implementing Intelligent Credit Scoring. Wiley.
Taniguchi, T., & Haraguchi, M. (2006). Discovery of hidden correlations in a local transaction database based on differences of correlations. Engineering Applications of Artificial Intelligence, 19, 419-428.
Tsai, C.-F., & Wu, J.-W. (2008). Using neural network ensembles for bankruptcy prediction and credit scoring. Expert Systems with Applications, 34, 2639-2649.
Talukder, A., & Casasent, D. (2001). A closed-form neural network for discriminatory feature extraction from high-dimensional data. Neural Networks, 14, 1201-1218.
Wang, J., & Xu, Z. (2010). New study on neural networks: the essential order of approximation. Neural Networks, 23, 618-624.
West, D. (2000). Neural network credit scoring models. Computers & Operations Research, 27, 1131-1152.
Zhang, G. et al. (1998). Forecasting with artificial neural networks: The state of the art. International Journal of Forecasting, 14, 35-62.
Zhou, L., & Yau, S. (2007). Efficient association rule mining among both frequent and infrequent items. Computers & Mathematics with Applications, 54, 737-749.
Chiang, R., Chua, C.E., Lim, E. (2005). Linear correlation discovery in databases: a data mining approach. Data & Knowledge Engineering, 53, 311-337.
Chang, H.J., et al. (2007). An anticipation model of potential customers & apos; purchasing behavior based on clustering analysis and association rules analysis. Expert Systems with Applications, 32, 753-764.
Chua, C.E.H., Chiang, R.H.L., & Lim, E.P. (2002). An intelligent middleware for linear correlation discovery. Decision Support Systems, 32, 313-326.
Goodhart, C. (2011). The Basel Committee on Banking Supervision. Cambridge University.
Lee, T.S. et al. (2002). Credit scoring using the hybrid neural discriminant technique. Expert Systems with Applications, 23, 245-254.
Lee, T.-S., & Chen, N.-J. (2002). Investigating the information content of non-cash-trading index futures using neural networks. Expert Systems with Applications, 22, 225-234.
Moretto, M., & Tamborini, R. (2007). Firm value, illiquidity risk and liquidity insurance. Journal of Banking & Finance, 31, 103-120.
Pan, J.Y., Yang, H.J., Faloutsos, C., & Duygulu, P. (2004). Automatic multimedia cross-modal correlation discovery. In Proceedings of the 10th ACM SIGKDD Conference KDD 2004. Seattle, WA, 653-658.
Robert, P.J.K., & Johnson, R. (2011). Elementary Statistics. 11th Edition ed.: Brooks/Cole, (2011).
Siddiqi, N. (2005). Credit Risk Scorecards: Developing and Implementing Intelligent Credit Scoring. Wiley.
Taniguchi, T., & Haraguchi, M. (2006). Discovery of hidden correlations in a local transaction database based on differences of correlations. Engineering Applications of Artificial Intelligence, 19, 419-428.
Tsai, C.-F., & Wu, J.-W. (2008). Using neural network ensembles for bankruptcy prediction and credit scoring. Expert Systems with Applications, 34, 2639-2649.
Talukder, A., & Casasent, D. (2001). A closed-form neural network for discriminatory feature extraction from high-dimensional data. Neural Networks, 14, 1201-1218.
Wang, J., & Xu, Z. (2010). New study on neural networks: the essential order of approximation. Neural Networks, 23, 618-624.
West, D. (2000). Neural network credit scoring models. Computers & Operations Research, 27, 1131-1152.
Zhang, G. et al. (1998). Forecasting with artificial neural networks: The state of the art. International Journal of Forecasting, 14, 35-62.
Zhou, L., & Yau, S. (2007). Efficient association rule mining among both frequent and infrequent items. Computers & Mathematics with Applications, 54, 737-749.