Kristof Coussement
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GAMens: Applies GAMens, GAMrsm and GAMbag ensemble classifiers. R Package version 1.11.
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Improved marketing decision making in a customer churn prediction context using generalized additive models
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Ensemble classification based on generalized additive models
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Improving customer attrition prediction by integrating emotions from client/company interaction emails and evaluating multiple classifiers
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Issues in Customer Intelligence: Data and Method Creativity to Improve Marketing Decision Making
(2008) -
Improving customer complaint management by automatic email classification using linguistic style features
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Employing SAS® Text Miner Methodology to Become a Customer Genius in Customer Churn Prediction Complaint E-mail Management
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Integrating the voice of customers through call center emails into a decision support system for chum prediction
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Improving customer complaint management by automatic email classification using linguistic style features as predictors
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Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques
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Combining Unstructured/Structured information into a traditional churn prediction model (poster presentation)
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naam Integrating the voice of customers through call center emails into a churn predictions system