EXPERT SYSTEMS WITH APPLICATIONS Expert Syst. Appl. 2012. 39 (18) p.13517-13522 39:18<13517
Business and Economics Predictive customer churn model Independent period Length of customer event history Time window Predictive analytics VARIABLES DEFECTION RETENTION SEGMENTATION MODELS CLASSIFICATION Explanatory period RANDOM FORESTS SWITCHING BEHAVIOR LOGISTIC-REGRESSION PURCHASING BEHAVIOR
Ballings, Michel, and Dirk Van den Poel. “Customer Event History for Churn Prediction: How Long Is Long Enough?” EXPERT SYSTEMS WITH APPLICATIONS 39.18 (2012): 13517–13522. Print.
Ballings, M., & Van den Poel, D. (2012). Customer event history for churn prediction: how long is long enough? EXPERT SYSTEMS WITH APPLICATIONS, 39(18), 13517–13522.
Ballings, Michel, and Dirk Van den Poel. 2012. “Customer Event History for Churn Prediction: How Long Is Long Enough?” Expert Systems with Applications 39 (18): 13517–13522.
Ballings M, Van den Poel D. Customer event history for churn prediction: how long is long enough? EXPERT SYSTEMS WITH APPLICATIONS. 2012;39(18):13517–22.
TY - JOUR
UR - http://lib.ugent.be/catalog/pug01:3120695
ID - pug01:3120695
LA - eng
TI - Customer event history for churn prediction: how long is long enough?
PY - 2012
JO - (2012) EXPERT SYSTEMS WITH APPLICATIONS
SN - 0957-4174
PB - 2012
AU - Ballings, Michel UGent 000080717841 802000947404 973485342463 0000-0002-3559-3112
AU - Van den Poel, Dirk EB23 EB54 801001343812 0000-0002-8676-8103
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