References:
[1] P. Kotler, and K. L. Keller. “Marketing Management”.14th Edition, New Jersey: Prentice Hall, 2012.
[2] S. Moro, P.Cortez, and P. Rita. “A data-driven approach to predict the success of bank telemarketing”. Decision Support Systems, 2014, 62, 22–31. http://dx.doi.org/10.1016/j.dss.2014.03.001.
[3] S. Moro, R. M. S. Laureano and P. Cortez. "Using Data Mining for Bank Direct Marketing: an Application of The CRISP-DM Methodology," in Proceedings of the European Simulation and Modelling Conference - ESM' 2011, Guimarães, 2011.
[4] K. H. Kim, et al., “Predicting the success of bank telemarketing using deep convolutional neural network,” in Proc. 7th International Conference of Soft Computing and Pattern Recognition (SoCPaR), Fukuoka, 2015.
[5] F. J. L. Iturriaga, and I. P. Sanz. “Bankruptcy visualization and prediction using neural networks: A study of US commercial banks”. Expert Systems with Applications, 2015, 42 (6), p. 2857-2869.
[6] Kwon, H.-B., & Lee, J. “Two-stage production modeling of large U.S. banks: A DEA-neural network approach”. Expert Systems with Applications, 2015, 42(19), 6758–6766. http://dx.doi.org/10.1016/j.eswa.2015.04.062.
[7] L. G. Brock III, and L. B. Davis. “Estimating available supermarket commodities for food bank collection in the absence of information”. Expert Systems with Applications, 2015, 42(7), 3450-3461.
[8] C. Jeong, J. H. Min, and M. S. Kim. “A tuning method for the architecture of neural network models incorporating GAM and GA as applied to bankruptcy prediction”. Expert Systems with Applications, 2012, 39 (3), pp. 3650-3658.
[9] P. Du Jardin. “Predicting bankruptcy using neural networks and other classification methods: The influence of variable selection techniques on model accuracy”. Neurocomputing, 2010, 73 (10), pp .2047-2060.
[10] A. Asuncion, and D. Newman, CA: University of California, School of Information and Computer Science, UCI machine learning repository. Irvine, 2012.
[11] S. Moro, P. Cortez and P. Rita. “A Data-Driven Approach to Predict the Success of Bank Telemarketing”. Decision Support Systems, Elsevier, 2014, 62:22-31.
[12] S. Bajpai, K. Jain, and J. Neeti, “Artificial Neural Networks,” the International Journal of Soft Computing and Engineering, vol. 1, no. 2011, pp. 2231-2307, 2011.
