Kristof Coussement

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

  605
  Citations

• 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

  527
  Citations

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

  Kristof Coussement;Dirk Van den Poel

  242
  Citations

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

  Kristof Coussement;Dirk Van den Poel

  239
  Citations

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

  Kristof Coussement;Stefan Lessmann;Geert Verstraeten

  207
  Citations

• Identifying influencers on social media

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

  204
  Citations

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

  Kristof Coussement;Dirk Van den Poel

  203
  Citations

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

  Kristof Coussement;Koen W. De Bock

  198
  Citations

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

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

  149
  Citations

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

  K. Coussement;D. Van Den Poel

  146
  Citations

• 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

  131
  Citations

• 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

  127
  Citations

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

  Unknown

  99
  Citations

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

  Nathalie T.M. Demoulin;Kristof Coussement

  81
  Citations

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

  Stijn Geuens;Kristof Coussement;Koen W. De Bock

  78
  Citations

• Customer engagement with digitalized interactive platforms in retailing

  Unknown

  70
  Citations

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

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

  63
  Citations

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

  Unknown

  63
  Citations

• 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

  59
  Citations

• Interpretable data science for decision making

  Kristof Coussement;Dries F. Benoit

  51
  Citations