Our key proposition is that creating a churn model in awareness of actual business requirements increases the performance of the final model for marketing ...
The key proposition is that creating churn models in awareness of actual business requirements increases the performance of the final model for marketing ...
Feb 24, 2016 · A churn model predicts the likelihood of customer defection. This is important to target retention offers to the right customers and to use ...
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May 29, 2015 · Churn modeling is important to sustain profitable customer relationships in saturated consumer markets. A churn model predicts the ...
Bibliographic details on Maximize What Matters: Predicting Customer Churn With Decision-Centric Ensemble Selection.
The aim of this study is to perform a large scale benchmark study in customer churn prediction implementing these novel methods.
De Bock, Maximize What Matters: Predicting Customer Churn with Decision-Centric Ensemble Selection. In Proceedings of the 23rd European Conference on ...
A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees. A De Caigny, K Coussement, KW De Bock.
Maximize What Matters: Predicting Customer Churn with Decision-Centric Ensemble Selection, Association for Information Systems AIS Electronic Library (AISeL).
Aug 19, 2024 · In this paper, we present churn prediction techniques that have been released so far. Churn prediction is used in the fields of Internet services, games, ...