Predicting credit card customer churn in banks using data mining
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- Manolis Maragoudakis & Dimitrios Serpanos, 2016. "Exploiting Financial News and Social Media Opinions for Stock Market Analysis using MCMC Bayesian Inference," Computational Economics, Springer;Society for Computational Economics, vol. 47(4), pages 589-622, April.
- Owen P. Hall Jr. & Darrol J. Stanley, 2012. "A comparative modelling analysis of firm performance," International Journal of Data Analysis Techniques and Strategies, Inderscience Enterprises Ltd, pages 43-56.
- Verbeke, Wouter & Dejaeger, Karel & Martens, David & Hur, Joon & Baesens, Bart, 2012. "New insights into churn prediction in the telecommunication sector: A profit driven data mining approach," European Journal of Operational Research, Elsevier, vol. 218(1), pages 211-229.
- repec:spr:fininn:v:2:y:2016:i:1:d:10.1186_s40854-016-0029-6 is not listed on IDEAS
- Vera Miguéis & Dirk Poel & Ana Camanho & João Falcão e Cunha, 2012.
"Predicting partial customer churn using Markov for discrimination for modeling first purchase sequences,"
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. 6(4), pages 337-353, December.
- 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.
- 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.
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Keywordscredit cards; credit card churn; data mining; churn prediction; multilayer perceptron; MLP; logistic regression; decision tree; random forest; radial basis function; RBF neural networks; support vector machine; SVM; synthetic minority oversampling technique; SMOTE; undersampling; oversampling; expert systems.;
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