How to cite this paper
Zarandi, S., Shahabi, V., Emami, M., Rezaee, A & Hassanloo, M. (2014). Ranking banks using K-Means and Grey relational method.Management Science Letters , 4(10), 2319-2324.
Refrences
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Cheng, C., & Chen, Y. (2008). Classifying the segmentation of customer value via RFM model and RS theory. Expert Systems with Applications, 4176–4184.
Deng, J. L. (1989). Introduction to grey system theory. The Journal of Grey System, 1(1), 1-24.
Dubes, R. C., & Jain, A. K. (1988). Algorithms for clustering data.
Edwards, D. (2003). Data mining: Concepts, models, methods, and algorithms. Journal of Proteome Research, 2(3), 334-334.
Farvaresh, H., & Sepehri, M. M. (2010). A data mining framework for detecting subscription fraud in telecommunication. Engineering Applications of Artificial Intelligence, 24(1), 182-194.
Emami, E., & Faezy Razi, F. (2014). A hybrid grey based K-means and feature selection for bank evaluation. Decision Science Letters, 3(3), 269-274.
Guha, S., Mishra, N., Motwani, R., & O & apos; Callaghan, L. (2000). Clustering data streams. In Foundations of computer science, 2000. proceedings. 41st annual symposium on (pp. 359-366). IEEE.
Guha, S., Meyerson, A., Mishra, N., Motwani, R., & O & apos; Callaghan, L. (2003). Clustering data streams: Theory and practice. Knowledge and Data Engineering, IEEE Transactions on, 15(3), 515-528.
Gupta, M., & Kumar, S.(2013). Multi-objective optimization of cutting parameters in turning using grey relational analysis. International Journal of Industrial Engineering Computations, 4, 547-558.
Han, J., & Kambert, M. (2001). Data Mining: Concepts and Techniques, Morgan Kaufmann. San Francisco.
Hsia, K. H., Chen, M. Y., & Chang, M. C. (2004). Comments on data pre-processing for grey relational analysis. Journal of Grey System, 7(1), 15-20.
Huang, S. J., Chiu, N. H., & Chen, L. W. (2008). Integration of the grey relational analysis with genetic algorithm for software effort estimation. European Journal of Operational Research, 188(3), 898-909.
Jain, A. K., & Dubes, R. C. (1988). Algorithms for clustering data. Prentice-Hall, Inc.
Jain, A. K., Murty, M. N., & Flynn, P. J. (1999). Data clustering: a review. ACM computing surveys (CSUR), 31(3), 264-323.
Kaefer, F., Heilman C.M., & Ramenofsky, S. D. (2005). A neural network application to consumer classification to improve the timing of direct marketing activities. Computer & Operations Research, 32(10), 2595–2615.
Kantardzic, M. (2011). Data mining: concepts, models, methods, and algorithms. John Wiley & Sons.
Kim, Y. & Nick Street, W. (2004). An intelligent system for customer targeting: A data mining approach. Decision Support Systems, 37, 215–228.
Razi, F. F., Danaei, A., Ehsani, A., & Dolati, C. (2013). Selecting an optimal mixed products using grey relationship model. Management Science Letters, 3(6), 1825-1832.
Salardini, F. (2013). An AHP-GRA method for asset allocation: A case study of investment firms on Tehran Stock Exchange. Decision Science Letters, 2, 275-280.
Yuantao, J. & Siqin, Y. (2008). Mining e-commerce data to analyze the target customer behavior. First International Workshop on Knowledge Discovery and Data Mining, 406-409.
Ying, L. & Feng, L. (2008). Customer segmentation analysis based on SOM clustering. IEEE International Conference on Service Operations and Logistics, and Informatics, 1, 15-19.
Zalaghi, Z., & Abbasnejad Varzi, Y. (2014). Measuring customer loyalty using an extended RFM and clustering technique. Management Science Letters, 4, 905-912.
Cheng, C., & Chen, Y. (2008). Classifying the segmentation of customer value via RFM model and RS theory. Expert Systems with Applications, 4176–4184.
Deng, J. L. (1989). Introduction to grey system theory. The Journal of Grey System, 1(1), 1-24.
Dubes, R. C., & Jain, A. K. (1988). Algorithms for clustering data.
Edwards, D. (2003). Data mining: Concepts, models, methods, and algorithms. Journal of Proteome Research, 2(3), 334-334.
Farvaresh, H., & Sepehri, M. M. (2010). A data mining framework for detecting subscription fraud in telecommunication. Engineering Applications of Artificial Intelligence, 24(1), 182-194.
Emami, E., & Faezy Razi, F. (2014). A hybrid grey based K-means and feature selection for bank evaluation. Decision Science Letters, 3(3), 269-274.
Guha, S., Mishra, N., Motwani, R., & O & apos; Callaghan, L. (2000). Clustering data streams. In Foundations of computer science, 2000. proceedings. 41st annual symposium on (pp. 359-366). IEEE.
Guha, S., Meyerson, A., Mishra, N., Motwani, R., & O & apos; Callaghan, L. (2003). Clustering data streams: Theory and practice. Knowledge and Data Engineering, IEEE Transactions on, 15(3), 515-528.
Gupta, M., & Kumar, S.(2013). Multi-objective optimization of cutting parameters in turning using grey relational analysis. International Journal of Industrial Engineering Computations, 4, 547-558.
Han, J., & Kambert, M. (2001). Data Mining: Concepts and Techniques, Morgan Kaufmann. San Francisco.
Hsia, K. H., Chen, M. Y., & Chang, M. C. (2004). Comments on data pre-processing for grey relational analysis. Journal of Grey System, 7(1), 15-20.
Huang, S. J., Chiu, N. H., & Chen, L. W. (2008). Integration of the grey relational analysis with genetic algorithm for software effort estimation. European Journal of Operational Research, 188(3), 898-909.
Jain, A. K., & Dubes, R. C. (1988). Algorithms for clustering data. Prentice-Hall, Inc.
Jain, A. K., Murty, M. N., & Flynn, P. J. (1999). Data clustering: a review. ACM computing surveys (CSUR), 31(3), 264-323.
Kaefer, F., Heilman C.M., & Ramenofsky, S. D. (2005). A neural network application to consumer classification to improve the timing of direct marketing activities. Computer & Operations Research, 32(10), 2595–2615.
Kantardzic, M. (2011). Data mining: concepts, models, methods, and algorithms. John Wiley & Sons.
Kim, Y. & Nick Street, W. (2004). An intelligent system for customer targeting: A data mining approach. Decision Support Systems, 37, 215–228.
Razi, F. F., Danaei, A., Ehsani, A., & Dolati, C. (2013). Selecting an optimal mixed products using grey relationship model. Management Science Letters, 3(6), 1825-1832.
Salardini, F. (2013). An AHP-GRA method for asset allocation: A case study of investment firms on Tehran Stock Exchange. Decision Science Letters, 2, 275-280.
Yuantao, J. & Siqin, Y. (2008). Mining e-commerce data to analyze the target customer behavior. First International Workshop on Knowledge Discovery and Data Mining, 406-409.
Ying, L. & Feng, L. (2008). Customer segmentation analysis based on SOM clustering. IEEE International Conference on Service Operations and Logistics, and Informatics, 1, 15-19.
Zalaghi, Z., & Abbasnejad Varzi, Y. (2014). Measuring customer loyalty using an extended RFM and clustering technique. Management Science Letters, 4, 905-912.