World's Best Scientists 2026 revealed!
Kristof Coussement

Kristof Coussement

D-Index & Metrics

Business and Management

D-Index
31
Citations
4311
World Ranking
2812
National Ranking
56

Best Publications

  • Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques

    Kristof Coussement;Dirk Van den Poel

  • A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees

    Arno De Caigny;Kristof Coussement;Koen W. De Bock

  • Improving customer complaint management by automatic email classification using linguistic style features as predictors

    Kristof Coussement;Dirk Van den Poel

  • Integrating the voice of customers through call center emails into a decision support system for churn prediction

    Kristof Coussement;Dirk Van den Poel

  • A comparative analysis of data preparation algorithms for customer churn prediction

    Kristof Coussement;Stefan Lessmann;Geert Verstraeten

  • Identifying influencers on social media

    Paul Harrigan;Timothy M. Daly;Kristof Coussement;Kristof Coussement;Julie A. Lee

  • Improving customer attrition prediction by integrating emotions from client/company interaction emails and evaluating multiple classifiers

    Kristof Coussement;Dirk Van den Poel

  • Customer churn prediction in the online gambling industry: The beneficial effect of ensemble learning

    Kristof Coussement;Koen W. De Bock

  • Improved marketing decision making in a customer churn prediction context using generalized additive models

    Kristof Coussement;Dries F. Benoit;Dirk Van den Poel

  • Churn Prediction in Subscription Services: an Application of Support Vector Machines While Comparing Two Parameter-Selection Techniques

    K. Coussement;D. Van Den Poel

  • Incorporating textual information in customer churn prediction models based on a convolutional neural network

    Arno De Caigny;Arno De Caigny;Kristof Coussement;Kristof Coussement;Koen W. De Bock;Stefan Lessmann

  • Data Accuracy’s Impact on Segmentation Performance: Benchmarking RFM Analysis, Logistic Regression, and Decision Trees

    Kristof Coussement;Filip A.M. Van den Bossche;Filip A.M. Van den Bossche;Koen W. De Bock

  • Explainable AI for Operational Research: A Defining Framework, Methods, Applications, and a Research Agenda

    Unknown

  • Acceptance of text-mining systems: The signaling role of information quality

    Nathalie T.M. Demoulin;Kristof Coussement

  • A framework for configuring collaborative filtering-based recommendations derived from purchase data

    Stijn Geuens;Kristof Coussement;Koen W. De Bock

  • Customer engagement with digitalized interactive platforms in retailing

    Unknown

  • Targeting customers for profit: An ensemble learning framework to support marketing decision-making

    Stefan Lessmann;Johannes Haupt;Kristof Coussement;Koen W. De Bock

  • Extending business failure prediction models with textual website content using deep learning

    Unknown

  • Cost-sensitive business failure prediction when misclassification costs are uncertain: A heterogeneous ensemble selection approach

    Koen W. De Bock;Kristof Coussement;Kristof Coussement;Stefan Lessmann

  • Interpretable data science for decision making

    Kristof Coussement;Dries F. Benoit

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