How to cite this paper
Taghva, M., Bamakan, S & Toufani, S. (2011). A data mining method for service marketing: A case study of banking industry.Management Science Letters , 1(3), 253-262.
Refrences
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Chiang, W. Y. (2011). To mine association rules of customer values via a data mining procedure with improved model: An empirical case study. Expert Systems with Applications, 38(3), 1716-1722.
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Dillon, W. R. & Goldstein, M. (1984). Multivariate analysis. John Wiley & Sons Inc.Dyche, J., & Dych, J. (2001). The CRM handbook: a business guide to customer relationship management. Reading, MA: Addison-Wesley.
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Hsieh, N. C. (2004). An integrated data mining and behavioral scoring model for analyzing bank customer. Expert Systems with Applications, 27, 623–633.
Hung C., Tsai, C. F. (2008). Market segmentation based on hierarchical self-organizing map for markets of multimedia on demand. Expert Systems with Applications, 34, 780–787.
Jain, A. K., Murthy, M. N., & Flynn, P. J. (1999). Data clustering: a review. ACM Computing Surveys. 31(3), 264–323.
Javaheri, H. (2008). Response modeling in direct marketing, A data mining based approach for target selection. Master Thesis, Department Industrial Engineering, Tarbiat Modares University.Kim, Y. S., & Sohn, S. Y. (2004). Managing loan customers using misclassification patterns of credit scoring model. Expert Systems with Applications, 26, 567–573.
Kohonen, T. (2001). Self-organizing maps (3rded.). Berlin, Heidelberg,New York: Springer-Verlag.
Kotler, Ph., & Keller K. (2008). Marketing Management (13th Edition). Prentice Hall.McNicholas, P.D., Murphy B., & O’Regan M. (2008). Standardising the lift of an association rule. Computational Statistics and Data Analysis, 52, 4712–4721.
Min, S. H. & Han, I. (2005). Detection of the customer time-variant pattern for improving recommender systems. Expert Systems with Applications, 28, 189–199.
Minaee, B., & Asghari, F. (2008). An integrated data mining and behavioral scoring model for analyzing bank customers, 2ndIran Data Mining Conference (IDMC2008), 11- 12 NOV, Amir Kabir University.
Nadeali, A., & Khanbabaees, M. (2008). Implementing of decision tree and genetic algorithm for crediting banks’ customers in decision support system. 2nd Iran Data Mining Conference (IDMC2008), 11- 12 NOV, Amir Kabir University.Ngai E.W.T., Hu, Y., Wong Y. H., Chen Y., & Sun X. (2010). The application of data mining techniques in financial fraud detection: A classification framework and an academic review of literature. Decision Support Systems, 50(3), 559-569.
Pal, N. R., Bezdek, J. C., & Tsao, E. C. K. (1993). Generalized clustering networks and Kohonen’s self-organizing scheme. IEEE Transaction on Neural Networks, 4(4), 549–557.
Setiono, R., Thong, J. Y. L., & Yap, C. S. (1998). Symbolic rule extraction from neural networks—an application to identifying organizations adopting IT. Information and Management, 34(2), 91–101.
Turban, E., Aronson, G. E., Liang, T. P., & Sharda, R. (2007). Decision support and business intelligence systems (Eighth ed.). Pearson Education.Wu, S., & Chow, T. W. S.(2003). Clustering of the self-organizing map using a clustering validity index based on inter-cluster and intra-cluster density. Pattern Recognition, 37, 175 – 188.
Zhu, D., Premkumar, G., Zhang, X., & Chu, C.Fall. (2001). Data mining for network intrusion detection: A comparison of alternative methods. Decision Sciences, 32(4), 635–660.
Agarwal, R., Imielinski, T., & Swami, A. (1993). A mining association rules between sets of items in large databases. ACM SIGMOD International Conference on Management of Data. Washington DC, USA.
Bose, I., & Mahapatra, R. K. (2001). Business data mining-a machine learning perspective. Information Management, 39(3), 211-225.
Bhattacharya, S., Jha, S., Tharakunnel, K., Westland, J. C. (2010). Data mining for credit card fraud: A comparative study. Decision Support Systems, 50(3), 602-613.
Cohen, M. D. (2004). Exploiting response models-optimizing cross-sell and up-sell opportunities in banking. Information Systems, 29, 327–341.
Chiang, W. Y. (2011). To mine association rules of customer values via a data mining procedure with improved model: An empirical case study. Expert Systems with Applications, 38(3), 1716-1722.
Desai, V. S., Crook, J. N., & Overstreet, G. A. (1996). A comparison of neural networks and linear scoring models in the creditunion environment. European Journal of Operational Research, 95, 24-37.
Dillon, W. R. & Goldstein, M. (1984). Multivariate analysis. John Wiley & Sons Inc.Dyche, J., & Dych, J. (2001). The CRM handbook: a business guide to customer relationship management. Reading, MA: Addison-Wesley.
Frawley, W. J., Piatetsky-Shapiro, G., & Matheus, C. J. (2001). Knowledge discovery in databases: an overview. AI Magazine, 13(3), 57–70.
Hsieh, N. C. (2004). An integrated data mining and behavioral scoring model for analyzing bank customer. Expert Systems with Applications, 27, 623–633.
Hung C., Tsai, C. F. (2008). Market segmentation based on hierarchical self-organizing map for markets of multimedia on demand. Expert Systems with Applications, 34, 780–787.
Jain, A. K., Murthy, M. N., & Flynn, P. J. (1999). Data clustering: a review. ACM Computing Surveys. 31(3), 264–323.
Javaheri, H. (2008). Response modeling in direct marketing, A data mining based approach for target selection. Master Thesis, Department Industrial Engineering, Tarbiat Modares University.Kim, Y. S., & Sohn, S. Y. (2004). Managing loan customers using misclassification patterns of credit scoring model. Expert Systems with Applications, 26, 567–573.
Kohonen, T. (2001). Self-organizing maps (3rded.). Berlin, Heidelberg,New York: Springer-Verlag.
Kotler, Ph., & Keller K. (2008). Marketing Management (13th Edition). Prentice Hall.McNicholas, P.D., Murphy B., & O’Regan M. (2008). Standardising the lift of an association rule. Computational Statistics and Data Analysis, 52, 4712–4721.
Min, S. H. & Han, I. (2005). Detection of the customer time-variant pattern for improving recommender systems. Expert Systems with Applications, 28, 189–199.
Minaee, B., & Asghari, F. (2008). An integrated data mining and behavioral scoring model for analyzing bank customers, 2ndIran Data Mining Conference (IDMC2008), 11- 12 NOV, Amir Kabir University.
Nadeali, A., & Khanbabaees, M. (2008). Implementing of decision tree and genetic algorithm for crediting banks’ customers in decision support system. 2nd Iran Data Mining Conference (IDMC2008), 11- 12 NOV, Amir Kabir University.Ngai E.W.T., Hu, Y., Wong Y. H., Chen Y., & Sun X. (2010). The application of data mining techniques in financial fraud detection: A classification framework and an academic review of literature. Decision Support Systems, 50(3), 559-569.
Pal, N. R., Bezdek, J. C., & Tsao, E. C. K. (1993). Generalized clustering networks and Kohonen’s self-organizing scheme. IEEE Transaction on Neural Networks, 4(4), 549–557.
Setiono, R., Thong, J. Y. L., & Yap, C. S. (1998). Symbolic rule extraction from neural networks—an application to identifying organizations adopting IT. Information and Management, 34(2), 91–101.
Turban, E., Aronson, G. E., Liang, T. P., & Sharda, R. (2007). Decision support and business intelligence systems (Eighth ed.). Pearson Education.Wu, S., & Chow, T. W. S.(2003). Clustering of the self-organizing map using a clustering validity index based on inter-cluster and intra-cluster density. Pattern Recognition, 37, 175 – 188.
Zhu, D., Premkumar, G., Zhang, X., & Chu, C.Fall. (2001). Data mining for network intrusion detection: A comparison of alternative methods. Decision Sciences, 32(4), 635–660.