How to cite this paper
Asareh, B & Ghaeli, M. (2013). Valuation and assessment of customers in banking industry using data mining techniques.International Journal of Data and Network Science, 3(2), 93-102.
Refrences
Altman, E. I. (2000). Predicting financial distress of companies: revisiting the Z-score and ZETA models. Stern School of Business, New York University, 9-12.
Bosch, O., & Steffen, S. (2011). On syndicate composition, corporate structure and the certification effect of credit ratings. Journal of Banking & Finance, 35(2), 290-299.
Desai, V. S., Crook, J. N., & Overstreet Jr, G. A. (1996). A comparison of neural networks and linear scoring models in the credit union environment. European Journal of Operational Research, 95(1), 24-37.
Dong, G., Lai, K. K., & Yen, J. (2010). Credit scorecard based on logistic regression with random coefficients. Procedia Computer Science, 1(1), 2463-2468.
Duff, A., & Einig, S. (2009). Understanding credit ratings quality: Evidence from UK debt market participants. The British Accounting Review, 41(2), 107-119.
Durand, D. (1941). Risk elements in consumer installment financing: National Bureau of Economic Research, New York.
Elmer, P. J., & Borowski, D. M. (1988). An expert system and neural networks approach to financial analysis. Financial Management, 12, 66-76.
Fensterstock, A. (2003). Credit scoring basics. BUSINESS CREDIT-NEW YORK THEN COLUMBIA MD-, 105(3), 10-14.
Fisher, R. A. (1936). The use of multiple measurements in taxonomic problems. Annals of eugenics, 7(2), 179-188.
Frawley, W. J., Piatetsky-Shapiro, G., & Matheus, C. J. (1992). Knowledge discovery in databases: An overview. AI magazine, 13(3), 57.
Goukasian, L., & Seaman, S. L. (2009). Comparison of classification models for predicting equipment lease and loan default. The Journal of Equipment Lease Financing (Online), 27(1), C1.
Horrigan, J. O. (1968). A short history of financial ratio analysis. The Accounting Review, 43(2), 284-294.
Koh, H. C., Tan, W. C., & Peng, G. C. (2004). Credit scoring using data mining techniques. Singapore Management Review, 26(2), 25.
Lee, T.-S., & Chen, I.-F. (2005). A two-stage hybrid credit scoring model using artificial neural networks and multivariate adaptive regression splines. Expert Systems with Applications, 28(4), 743-752.
Limsombunchai, V., Gan, C., & Lee, M. (2005). An analysis of credit scoring for agricultural loans in Thailand.
Louzada, F., Ferreira-Silva, P. H., & Diniz, C. A. (2012). On the impact of disproportional samples in credit scoring models: An application to a Brazilian bank data. Expert Systems with Applications, 39(9), 8071-8078.
Malhotra, R., & Malhotra, D. K. (2002). Differentiating between good credits and bad credits using neuro-fuzzy systems. European Journal of Operational Research, 136(1), 190-211.
Min, J. H., & Lee, Y.-C. (2008). A practical approach to credit scoring. Expert Systems with Applications, 35(4), 1762-1770.
Ong, C.-S., Huang, J.-J., & Tzeng, G.-H. (2005). Building credit scoring models using genetic programming. Expert Systems with Applications, 29(1), 41-47.
Papaikonomou, V. L. (2010). Credit rating agencies and global financial crisis: Need for a paradigm shift in financial market regulation. Studies in Economics and Finance, 27(2), 161-174.
Thomas, L. C. (2000). A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers. International journal of forecasting, 16(2), 149-172.
West, D. (2000). Neural network credit scoring models. Computers & Operations Research, 27(11-12), 1131-1152.
Bosch, O., & Steffen, S. (2011). On syndicate composition, corporate structure and the certification effect of credit ratings. Journal of Banking & Finance, 35(2), 290-299.
Desai, V. S., Crook, J. N., & Overstreet Jr, G. A. (1996). A comparison of neural networks and linear scoring models in the credit union environment. European Journal of Operational Research, 95(1), 24-37.
Dong, G., Lai, K. K., & Yen, J. (2010). Credit scorecard based on logistic regression with random coefficients. Procedia Computer Science, 1(1), 2463-2468.
Duff, A., & Einig, S. (2009). Understanding credit ratings quality: Evidence from UK debt market participants. The British Accounting Review, 41(2), 107-119.
Durand, D. (1941). Risk elements in consumer installment financing: National Bureau of Economic Research, New York.
Elmer, P. J., & Borowski, D. M. (1988). An expert system and neural networks approach to financial analysis. Financial Management, 12, 66-76.
Fensterstock, A. (2003). Credit scoring basics. BUSINESS CREDIT-NEW YORK THEN COLUMBIA MD-, 105(3), 10-14.
Fisher, R. A. (1936). The use of multiple measurements in taxonomic problems. Annals of eugenics, 7(2), 179-188.
Frawley, W. J., Piatetsky-Shapiro, G., & Matheus, C. J. (1992). Knowledge discovery in databases: An overview. AI magazine, 13(3), 57.
Goukasian, L., & Seaman, S. L. (2009). Comparison of classification models for predicting equipment lease and loan default. The Journal of Equipment Lease Financing (Online), 27(1), C1.
Horrigan, J. O. (1968). A short history of financial ratio analysis. The Accounting Review, 43(2), 284-294.
Koh, H. C., Tan, W. C., & Peng, G. C. (2004). Credit scoring using data mining techniques. Singapore Management Review, 26(2), 25.
Lee, T.-S., & Chen, I.-F. (2005). A two-stage hybrid credit scoring model using artificial neural networks and multivariate adaptive regression splines. Expert Systems with Applications, 28(4), 743-752.
Limsombunchai, V., Gan, C., & Lee, M. (2005). An analysis of credit scoring for agricultural loans in Thailand.
Louzada, F., Ferreira-Silva, P. H., & Diniz, C. A. (2012). On the impact of disproportional samples in credit scoring models: An application to a Brazilian bank data. Expert Systems with Applications, 39(9), 8071-8078.
Malhotra, R., & Malhotra, D. K. (2002). Differentiating between good credits and bad credits using neuro-fuzzy systems. European Journal of Operational Research, 136(1), 190-211.
Min, J. H., & Lee, Y.-C. (2008). A practical approach to credit scoring. Expert Systems with Applications, 35(4), 1762-1770.
Ong, C.-S., Huang, J.-J., & Tzeng, G.-H. (2005). Building credit scoring models using genetic programming. Expert Systems with Applications, 29(1), 41-47.
Papaikonomou, V. L. (2010). Credit rating agencies and global financial crisis: Need for a paradigm shift in financial market regulation. Studies in Economics and Finance, 27(2), 161-174.
Thomas, L. C. (2000). A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers. International journal of forecasting, 16(2), 149-172.
West, D. (2000). Neural network credit scoring models. Computers & Operations Research, 27(11-12), 1131-1152.