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Segmentation approaches in data-mining: A comparison of RFM, CHAID, and logistic regression

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  • McCarty, John A.
  • Hastak, Manoj
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    File URL: http://www.sciencedirect.com/science/article/B6V7S-4MV1P09-3/2/86d2f0ff4b81f22fe7cd9f62e2dae594
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    Bibliographic Info

    Article provided by Elsevier in its journal Journal of Business Research.

    Volume (Year): 60 (2007)
    Issue (Month): 6 (June)
    Pages: 656-662

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    Handle: RePEc:eee:jbrese:v:60:y:2007:i:6:p:656-662

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    Web page: http://www.elsevier.com/locate/jbusres

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    1. Zahay, Debra & Peltier, James & Schultz, Don E. & Griffin, Abbie, 2004. "The Role of Transactional versus Relational Data in IMC Programs: Bringing Customer Data Together," Journal of Advertising Research, Cambridge University Press, vol. 44(01), pages 3-18, March.
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    Cited by:
    1. Coussement, Kristof & De Bock, Koen W., 2013. "Customer churn prediction in the online gambling industry: The beneficial effect of ensemble learning," Journal of Business Research, Elsevier, vol. 66(9), pages 1629-1636.
    2. M. Ballings & D. Van Den Poel, 2012. "The Relevant Length of Customer Event History for Churn Prediction: How long is long enough?," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 12/804, Ghent University, Faculty of Economics and Business Administration.
    3. Coussement, Kristof & Van den Bossche, Filip A.M. & De Bock, Koen W., 2014. "Data accuracy's impact on segmentation performance: Benchmarking RFM analysis, logistic regression, and decision trees," Journal of Business Research, Elsevier, vol. 67(1), pages 2751-2758.
    4. Irene Albarrán & J. Miguel Marín & Pablo J. Alonso, 2011. "Why using a general model in Solvency II is not a good idea : an explanation from a Bayesian point of view," Statistics and Econometrics Working Papers ws113729, Universidad Carlos III, Departamento de Estadística y Econometría.

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