1 |
Adomavicius, G. and Tuzhilin, A. (2001). Expert-driven validation of rule-based user models in personal-ization applications. Data Mining and Knowledge Discovery, 5, 33-58.
DOI
ScienceOn
|
2 |
Aggarval, C. C. and Yu, P. S. (2002). Finding localized associations in market basket data. IEEE Transac-tions on Knowledge and Data Engineering, 14, 51-62.
DOI
ScienceOn
|
3 |
Kivetz, R. and Simonson (2003). The idiosyncratic fit Heuristic: Effort advantage as a determinant of consumer response to loyalty programs. Journal of Marketing Research, 40, 454-467.
DOI
ScienceOn
|
4 |
Kracklauer, A. H., Mills, D. Q. and Seifert, D. (2004). Customer management as the origin of collaborative customer relationship management. Collaborative Customer Relationship Management - taking CRM to the next level, 3-6.
|
5 |
Kubat, M., Hafez, A., Raghavan, V. V., Lekkala, J. R. and Chen, W. K. (2003). Item set trees for targeted association querying. IEEE Transactionon Knowledge and Data Engineering, 15, 1522-1534.
DOI
ScienceOn
|
6 |
Langley, P. and Simon, H. A. (1995). Applications of machine learning and rule induction. Communication of the ACM, 38, 55-64.
|
7 |
Lau, H. C. W., Wong, C. W. Y., Hui, I. K. and Pun, K. F. (2003). Design and implementation of an integrated knowledge system. Knowledge-Based Systems, 16, 69-76.
DOI
ScienceOn
|
8 |
Ling, R. and Yen, D. C. (2001). Customer relationship management: An analysis framework and implemen-tation strategies. Journal of Computer Information Systems, 41, 82-97.
|
9 |
McCarthy, T. (1998). Secrets to suggestive selling. Lodging Hospitality, 54, 18-21.
|
10 |
Mirman, R. (1982). Performance management in sales organizations. In Handbook of organizational behavior management, 427-475, edited by L. W. Frederiksen, John Wiley, New York.
|
11 |
Newell, F. (1997). The new rules of CRM: How to use one-to-one relationship CRM to be the leader in your industry, McGraw-Hills, NewYork.
|
12 |
Parvatiyar, A. and Sheth, J. N. (2001). Customer relationship management: Emerging practice, process and discipline. Journal of Economic & Social Research, 3, 1-34.
|
13 |
Bunkley, Nick. (2008). Joseph Juran, 103, pioneer in quality control, dies, New York Times, http://www.nytimes.com/2008/03/03/business/03juran.html.
|
14 |
Agresti, A. (2012). Categorical data analysis, 3rd ed., Wiley, New York.
|
15 |
Blattberg, R., Getz, G. and Thomas, J. (2001). Customer Equity . Harvard Business School Press, Boston.
|
16 |
Bortiz, J. E. and Kennedy, D. B. (1995). Effectiveness of neural network types for prediction of business failure. Expert Systems with Applications, 9, 503-512.
DOI
ScienceOn
|
17 |
Changchien, S. W., Lee, C. F. and Hsu, Y. J. (2004). On-line personalized sales promotion in electronic commerce. Expert Systems with Applications, 27, 35-52.
DOI
ScienceOn
|
18 |
Chen, M. C., Chiu, A. L. and Chang, H. H. (2005). Mining changes in customer behaviour in retail CRM. Expert Systems with Applications, 28, 773-781.
DOI
ScienceOn
|
19 |
Cheng, C. H. and Chen, Y. S. (2009). Classifying the segmentation of customer value via RFM model and RS theory. Expert Systems with Applications, 36, 4176-4184.
DOI
ScienceOn
|
20 |
Clement, T. M., Cloodt, M. M. A. H. and Verhoef, L. H. J. (2010). Differences in the Business model design;CRM & Add-on selling in Central Asia, Master Theses, Technology University Eindhoven, Eindhoven.
|
21 |
Dennis, C., Marsland, D. and Cockett, T. (2001). Data mining for shopping centres customer knowledge management framework. Journal of Knowledge Management, 5, 368-374.
DOI
ScienceOn
|
22 |
Ebster, C.,Wagner, U. and Valis, S. (2006). The effectiveness of verbal prompts on sales. Journal of Retailing and Consumer Services, 13, 169-76.
DOI
ScienceOn
|
23 |
Swift, R. S. (2001). Accelerating customer relationships: Using CRM and relationship technologies, Prentice-Hall, Upper Saddle River, New Jersey.
|
24 |
Polonsky, M. J., Cameron, H., Halstead, S., Ratcliffe, A., Stilo, P. and Watt, G. (2000). Exploring companion selling: Does the situation affect customers' perceptions? International Journal of Retail and Distribution Management, 28, 37-45.
DOI
ScienceOn
|
25 |
Salchenberger, L. M., Cinar, E. M. and Lash, N. A. (1992). Neural networks: A new tool for predicting thrift failures. Decision Sciences, 23, 899-916.
DOI
|
26 |
Su, C. T., Hsu, H. H. and Tsai, C. H. (2002). Knowledge mining from trained neural networks. Journal of Computer Information Systems, 42, 61-70.
|
27 |
Tam, K. Y. and Kiang, M. Y. (1992). Managerial applications of neural networks: The case of bank failure predictions. Management Science, 38, 926-947.
DOI
ScienceOn
|
28 |
Wu, C. H., Kao, S. C., Su, Y. Y. and Wu, C. C. (2005). Targeting customers via discovery knowledge for the insurance industry. Expert Systems with Applications, 29, 291-299.
DOI
ScienceOn
|
29 |
Wu, J. and Lin, Z. (2005). Research on customer segmentation model by clustering. ACM International Conference Proceeding Series, 113.
|
30 |
Yu, J. X., Ou, Y., Zhang, C. and Zhang, S. (2005). Identifying interesting visitors through web log classifi-cation. IEEE Intelligent Systems, 20, 55-59.
DOI
ScienceOn
|
31 |
Zhang, G., Hu, M. Y., Patuwo, B. E. and Indro, D. C. (1999). Artificial neural networks in bankruptcy prediction: General framework and cross validation analysis. European Journal of Operational Research, 116, 16-32.
DOI
ScienceOn
|
32 |
Hughes, A. M. (1994). Strategic data base CRM, University of Chicago Press, Chicago.
|
33 |
Fletcher, D. and Goss, E. (1993). Forecasting with neural networks: An application using bankruptcy data. Information and Management, 24, 159-167.
DOI
ScienceOn
|
34 |
Lee, H., Shim, B. and Suh, Y. (2015). VIP-targeted CRM strategies in an open market. Journal of the Korean Data & Information Science Society, 26, 1-13.
DOI
ScienceOn
|
35 |
Hosseini, M., Anahita, M. and Mohammad, R. G. (2010). Cluster analysis using data mining approach to develop CRM methodology to assess the customer loyalty. Expert Systems with Applications, 37, 5259-5264.
DOI
ScienceOn
|
36 |
Hwang, H., Jung, T. and Suh, E. (2004). An LTV model and customer segmentation based on customer value: A case study on the wireless telecommunication industry. Expert Systems with Applications, 26, 181-188.
DOI
ScienceOn
|
37 |
Thomas, J. S. (2001). A methodology for linking customer acquisition to customer retention. Journal of Marketing Research, 38, 262-268.
DOI
ScienceOn
|
38 |
Khajvanda, M. and Tarokhb, 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.
DOI
ScienceOn
|
39 |
Kim, S. Y., Jung, T. S., Suh, E. H. and Hwang, H. S. (2006). Customer segmentation and strategy develop-ment based on customer lifetime value: A case study. Expert Systems with Applications, 31, 101-107.
DOI
ScienceOn
|
40 |
Kim, Y. S. (2006). Toward a successful CRM: Variable selection, sampling and ensemble. Decision Support Systems, 41, 542-553.
DOI
ScienceOn
|