References
- Berry, M. J. A. and Linoff, G. (1997), Data Mining Techniques: For Marketing, Sales, and customer Support, Wiley, New York, USA
- Chen, M-C.,Chiu, A-L., Chang, H-H. (2005), Mining changes in customer behavior in retail marketing, Expert Systems with Applications 28, 773-781 https://doi.org/10.1016/j.eswa.2004.12.033
- Ha, S. H., Bae, S. M., and Park, S. C. (2002), Customer's time-variant purchase behavior and corresponding marketing strategies: an online retailer's case. Computer & Industrial Engineering, 43, 801-820 https://doi.org/10.1016/S0360-8352(02)00141-9
- Hsieh, N-C. (2004), An Integrated data mining and behavioral scoring model for analyzing bank customers, Expert Systems with Applications 27, 623-633 https://doi.org/10.1016/j.eswa.2004.06.007
- 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 https://doi.org/10.1016/S0957-4174(03)00133-7
- Lingras P., Hogo, M., Snorek, M., and West, C. (2005), Temporal analysis of clusters of supermarket customers: Conventional versus interval set approach, Information Sciences, 172, 215-240 https://doi.org/10.1016/j.ins.2004.12.007
- Liu, D-R. and Shih, Y - Y. (2005), Hybrid approaches to product recommendation based on customer lifetime value and purchase preferences, The Journal of Systems and Software, 77(2), 181-191 https://doi.org/10.1016/j.jss.2004.08.031
- Min, S-H. and Han, I. (2005), Detection of the customer time-variant pattern for improving recommender systems, Expert System with Application 28,189-199 https://doi.org/10.1016/j.eswa.2004.10.001
- Park, S. C., Park, J. H., Ha, S. H., and In, k. H. (2000), From Behavior to Market: Customer Focus in Supply Chain Management, Fifth Conference of the Association of Asian-Pacific Operations Research Societies, Singapore, 5-7
- Scott Armstrong, J. (2000), Extrapolation for Time-Series and Cross-Sectional Data, Principles of Forecasting: A handbook for Research and Practitioners, Kluwer Academic Publishers, Norwell, MA
- Scott Armstrong, J., Morwitz, V. G. and Kumar, V. (2000), Sales forecasts for existing consumer products and services: Do Purchase intentions contribute to accuracy?, International Journal of Forecasting, 16, 383-397 https://doi.org/10.1016/S0169-2070(00)00058-3
- Song, H. S. (2001), Mining the change of customer behavior in an internet shopping mall. Expert Systems with Applications, 21, 157-168 https://doi.org/10.1016/S0957-4174(01)00037-9
- Soulet, A., Cremilleux, B., and Rioult, F. (2004), Condensed Representation of Emerging Patterns, Pacific-Asia Conference on Knowledge Discovery and Data Mining(PAKDD), 127-132
- Suh, E. H., Noh, K. C., and Suh, C. K. (1999), Customer list segmen- tation using the combined response model, Expert Systems with Applications 17, 89-97 https://doi.org/10.1016/S0957-4174(99)00026-3
- Thornassey, S. and Fiordaliso, A. (2005), A hybrid sales forecasting system based on clustering and decision tree, Decision Support Systems
- Tsai, C.-Y. and Chiu, C.-C. (2004), A purchase-based market segmentation methodology, Expert Systems with Applications 27, 265-276 https://doi.org/10.1016/j.eswa.2004.02.005
- Verhoef P. C. and Donkers, B. (2001), Prediction customer potential value an application in the insurance industry, Decision Support Systems, 32,189-199 https://doi.org/10.1016/S0167-9236(01)00110-5