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An empirical evaluation of rotation-based ensemble classifiers for customer churn prediction

Koen De Bock (UGent) and Dirk Van den Poel (UGent)
(2011) EXPERT SYSTEMS WITH APPLICATIONS. 38(10). p.12293-12301
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RANDOM FORESTS, RELATIONSHIP MANAGEMENT, SUBSCRIPTION SERVICES, ATTRITION ANALYSIS, CLASSIFICATION, MODELS, RETENTION, ALGORITHMS, FRAMEWORK, SELECTION, CRM, Database marketing, Customer churn prediction, Ensemble classification, Rotation-based ensemble classifiers, RotBoost, Rotation Forest, ICA, AUC, Lift

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MLA
De Bock, Koen, and Dirk Van den Poel. “An Empirical Evaluation of Rotation-Based Ensemble Classifiers for Customer Churn Prediction.” EXPERT SYSTEMS WITH APPLICATIONS, vol. 38, no. 10, 2011, pp. 12293–301, doi:10.1016/j.eswa.2011.04.007.
APA
De Bock, K., & Van den Poel, D. (2011). An empirical evaluation of rotation-based ensemble classifiers for customer churn prediction. EXPERT SYSTEMS WITH APPLICATIONS, 38(10), 12293–12301. https://doi.org/10.1016/j.eswa.2011.04.007
Chicago author-date
De Bock, Koen, and Dirk Van den Poel. 2011. “An Empirical Evaluation of Rotation-Based Ensemble Classifiers for Customer Churn Prediction.” EXPERT SYSTEMS WITH APPLICATIONS 38 (10): 12293–301. https://doi.org/10.1016/j.eswa.2011.04.007.
Chicago author-date (all authors)
De Bock, Koen, and Dirk Van den Poel. 2011. “An Empirical Evaluation of Rotation-Based Ensemble Classifiers for Customer Churn Prediction.” EXPERT SYSTEMS WITH APPLICATIONS 38 (10): 12293–12301. doi:10.1016/j.eswa.2011.04.007.
Vancouver
1.
De Bock K, Van den Poel D. An empirical evaluation of rotation-based ensemble classifiers for customer churn prediction. EXPERT SYSTEMS WITH APPLICATIONS. 2011;38(10):12293–301.
IEEE
[1]
K. De Bock and D. Van den Poel, “An empirical evaluation of rotation-based ensemble classifiers for customer churn prediction,” EXPERT SYSTEMS WITH APPLICATIONS, vol. 38, no. 10, pp. 12293–12301, 2011.
@article{1937503,
  author       = {{De Bock, Koen and Van den Poel, Dirk}},
  issn         = {{0957-4174}},
  journal      = {{EXPERT SYSTEMS WITH APPLICATIONS}},
  keywords     = {{RANDOM FORESTS,RELATIONSHIP MANAGEMENT,SUBSCRIPTION SERVICES,ATTRITION ANALYSIS,CLASSIFICATION,MODELS,RETENTION,ALGORITHMS,FRAMEWORK,SELECTION,CRM,Database marketing,Customer churn prediction,Ensemble classification,Rotation-based ensemble classifiers,RotBoost,Rotation Forest,ICA,AUC,Lift}},
  language     = {{eng}},
  number       = {{10}},
  pages        = {{12293--12301}},
  title        = {{An empirical evaluation of rotation-based ensemble classifiers for customer churn prediction}},
  url          = {{http://dx.doi.org/10.1016/j.eswa.2011.04.007}},
  volume       = {{38}},
  year         = {{2011}},
}

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