Predicting partial customer churn using Markov for discrimination for modeling first purchase sequences
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DOI: 10.1007/s11634-012-0121-3
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- V. L. Miguéis & D. Van Den Poel & A.S. Camanho & Joao Falcao E Cunha, 2012. "Predicting Partial Customer Churn Using Markov for Discrimination for Modeling First Purchase Sequences," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 12/806, Ghent University, Faculty of Economics and Business Administration.
References listed on IDEAS
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Citations
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Cited by:
- Katerina Shapoval & Thomas Setzer, 2018. "Next-Purchase Prediction Using Projections of Discounted Purchasing Sequences," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 60(2), pages 151-166, April.
- Łapczyński Mariusz, 2014. "Hybrid C&RT-Logit Models In Churn Analysis," Folia Oeconomica Stetinensia, Sciendo, vol. 14(2), pages 37-52, December.
- Miguel Angel de la Llave Montiel & Fernando López, 2020. "Spatial models for online retail churn: Evidence from an online grocery delivery service in Madrid," Papers in Regional Science, Wiley Blackwell, vol. 99(6), pages 1643-1665, December.
- Ballings, Michel & Van den Poel, Dirk, 2015. "CRM in social media: Predicting increases in Facebook usage frequency," European Journal of Operational Research, Elsevier, vol. 244(1), pages 248-260.
- Uroš Droftina & Mitja Å tular & Andrej Košir, 2015. "A diffusion model for churn prediction based on sociometric theory," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 9(3), pages 341-365, September.
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Keywords
Customer relationship management; Churn analysis; Retailing; Classification; Logistic regression; Random forests; 91;All these keywords.
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