Jonathan Burez

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Keywords: Rare events Class imbalance Under-sampling Oversampling Boosting Random forests CUBE Customer churn Classifier a b s t r a c t Customer churn is often a rare event in service industries, but of great interest and great value. Until recently, however, class imbalance has not received much attention in the context of data mining [Weiss, G. M.(More)
The early detection of potential churners enables companies to target these customers using specific retention actions, and subsequently increase profits. This analytical CRM (Customer Relationship Management) approach is illustrated using real-life data of a European pay-TV company. Their very high churn rate has had a devastating effect on their customer(More)
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