How to cite this paper
Zalaghi, Z & Varzi, Y. (2014). Measuring customer loyalty using an extended RFM and clustering technique.Management Science Letters , 4(5), 905-912.
Refrences
Alvandi, M., Fazli, S., & Abdoli, F. S. (2012). K-Mean clustering method for analysis customer lifetime value with LRFM relationship model in banking services. International Research Journal of Applied and Basic Sciences, 3(11), 2294-2302.
Balaji, S., & Srivatsa S. K. (2012). Customer segmentation for decision support using clustering and association rule based approaches. International Journal of Computer Science and Engineering Technology, 3(11), 525-529.
Baradwaj, B. K., & Pal, S. (2011). Mining Educational Data to Analyze Students & apos; Performance. International Journal of Advanced Computer Science & Applications, 2(6), 63-69.
Bult, J. R., & Wansbeek, T. (1995). Optimal selection for direct mail. Marketing Science, 14(4), 378-394.
Chan, C. C. H. (2008). Intelligent value-based customer segmentation method for campaign management: A case study of automobile retailer. Expert Systems with Applications, 34(4), 2754-2762.
Cheng, C. H., & Chen, Y. S. (2009). Classifying the segmentation of customer value via RFM model and RS theory. Expert Systems with Applications, 36(3), 4176-4184.
Chuang, H. M., & Shen, C. C. (2008, July). A study on the applications of data mining techniques to enhance customer lifetime value—based on the department store industry. In Machine Learning and Cybernetics, 2008 International Conference on (Vol. 1, pp. 168-173). IEEE.
Danaee, H., Aghaee, Z., Haghtalab, H., & Pour Salimi, M. (2013). Classifying and designing customer & apos; s strategy pyramid by customer life time value (CLV) (Case study: Shargh Cement Company). Journal of Basic Applied Science Resources, 3(7), 473-483.
Dias, A. H., & De Vasconcelos, J. A. (2002). Multiobjective genetic algorithms applied to solve optimization problems. Magnetics, IEEE Transactions on,38(2), 1133-1136.
Garcia-Murillo, M., & Annabi, H. (2002). Customer knowledge management.Journal of the Operational Research society, 53(8), 875-884.
Golmah, V., & Mirhashemi, G. (2012). Implementing A Data Mining Solution To Customer Segmentation For Decayable Products-A Case Study For A Textile Firm. International Journal of Database Theory & Application, 5(3), 73-89.
Hosseini, S. M. S., Maleki, A., & Gholamian, M. R. (2010). Cluster analysis using data mining approach to develop CRM methodology to assess the customer loyalty. Expert Systems with Applications, 37(7), 5259-5264.
Khajvand, M., Zolfaghar, K., Ashoori, S., & Alizadeh, S. (2011). Estimating customer lifetime value based on RFM analysis of customer purchase behavior: Case study. Procedia Computer Science, 3, 57-63.
Khajvand, M., & Tarokh, M. J. (2011). Estimating customer future value of different customer segments based on adapted RFM model in retail banking context. Procedia Computer Science, 3, 1327-1332.
Liu, D. R., & Shih, Y. Y. (2005). Hybrid approaches to product recommendation based on customer lifetime value and purchase preferences. Journal of Systems and Software, 77(2), 181-191.
Mak, M. K., Ho, G. T., & Ting, S. L. (2011). A Financial Data Mining Model for Extracting Customer Behavior. International Journal of Engineering Business Management, 3(3), 59-72.
Saaty, T. L. (1988). What is the analytic hierarchy process? (pp. 109-121). Springer Berlin Heidelberg.
Stone, B., & Jacobs, R. (1988). Successful direct marketing methods. Lincolnwood, IL: NTC Business Books.
Balaji, S., & Srivatsa S. K. (2012). Customer segmentation for decision support using clustering and association rule based approaches. International Journal of Computer Science and Engineering Technology, 3(11), 525-529.
Baradwaj, B. K., & Pal, S. (2011). Mining Educational Data to Analyze Students & apos; Performance. International Journal of Advanced Computer Science & Applications, 2(6), 63-69.
Bult, J. R., & Wansbeek, T. (1995). Optimal selection for direct mail. Marketing Science, 14(4), 378-394.
Chan, C. C. H. (2008). Intelligent value-based customer segmentation method for campaign management: A case study of automobile retailer. Expert Systems with Applications, 34(4), 2754-2762.
Cheng, C. H., & Chen, Y. S. (2009). Classifying the segmentation of customer value via RFM model and RS theory. Expert Systems with Applications, 36(3), 4176-4184.
Chuang, H. M., & Shen, C. C. (2008, July). A study on the applications of data mining techniques to enhance customer lifetime value—based on the department store industry. In Machine Learning and Cybernetics, 2008 International Conference on (Vol. 1, pp. 168-173). IEEE.
Danaee, H., Aghaee, Z., Haghtalab, H., & Pour Salimi, M. (2013). Classifying and designing customer & apos; s strategy pyramid by customer life time value (CLV) (Case study: Shargh Cement Company). Journal of Basic Applied Science Resources, 3(7), 473-483.
Dias, A. H., & De Vasconcelos, J. A. (2002). Multiobjective genetic algorithms applied to solve optimization problems. Magnetics, IEEE Transactions on,38(2), 1133-1136.
Garcia-Murillo, M., & Annabi, H. (2002). Customer knowledge management.Journal of the Operational Research society, 53(8), 875-884.
Golmah, V., & Mirhashemi, G. (2012). Implementing A Data Mining Solution To Customer Segmentation For Decayable Products-A Case Study For A Textile Firm. International Journal of Database Theory & Application, 5(3), 73-89.
Hosseini, S. M. S., Maleki, A., & Gholamian, M. R. (2010). Cluster analysis using data mining approach to develop CRM methodology to assess the customer loyalty. Expert Systems with Applications, 37(7), 5259-5264.
Khajvand, M., Zolfaghar, K., Ashoori, S., & Alizadeh, S. (2011). Estimating customer lifetime value based on RFM analysis of customer purchase behavior: Case study. Procedia Computer Science, 3, 57-63.
Khajvand, M., & Tarokh, M. J. (2011). Estimating customer future value of different customer segments based on adapted RFM model in retail banking context. Procedia Computer Science, 3, 1327-1332.
Liu, D. R., & Shih, Y. Y. (2005). Hybrid approaches to product recommendation based on customer lifetime value and purchase preferences. Journal of Systems and Software, 77(2), 181-191.
Mak, M. K., Ho, G. T., & Ting, S. L. (2011). A Financial Data Mining Model for Extracting Customer Behavior. International Journal of Engineering Business Management, 3(3), 59-72.
Saaty, T. L. (1988). What is the analytic hierarchy process? (pp. 109-121). Springer Berlin Heidelberg.
Stone, B., & Jacobs, R. (1988). Successful direct marketing methods. Lincolnwood, IL: NTC Business Books.