|
°Meta-analyzing non-sampling based cost-sensitive learners for optimal decision making in a customer churn context |
|
|
|
°Including emotionality indicators from customer call center emails to improve churn prediction |
|
|
|
°Introducing an automatic complaint classification system in a call center environment |
|
|
|
°Incorporating call center emails into a traditional churn prediction model |
|
|
|
°Planning targeted marketing actions to reduce customer attrition: an analytical CRP-approach |
|
|
|
°Predicting customer churn in the subscription business |
|
|
|
°Investigating the customer churn drivers in the publishing industry |
|
|
|
°Modeling in the financial services industry: creation of marketing data mart |
|
|
|
°Describing and segmenting the clients for a clothing/shoes company |
