| Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques K Coussement, D Van den Poel Expert systems with applications 34 (1), 313-327, 2008 | 643 | 2008 |
| A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees A De Caigny, K Coussement, KW De Bock European Journal of Operational Research 269 (2), 760-772, 2018 | 539 | 2018 |
| A comparative analysis of data preparation algorithms for customer churn prediction: A case study in the telecommunication industry K Coussement, S Lessmann, G Verstraeten Decision Support Systems 95, 27-36, 2017 | 262 | 2017 |
| Improving customer complaint management by automatic email classification using linguistic style features as predictors K Coussement, D Van den Poel Decision support systems 44 (4), 870-882, 2008 | 245 | 2008 |
| Integrating the voice of customers through call center emails into a decision support system for churn prediction K Coussement, D Van den Poel Information & Management 45 (3), 164-174, 2008 | 237 | 2008 |
| Identifying influencers on social media P Harrigan, TM Daly, K Coussement, JA Lee, GN Soutar, U Evers International Journal of Information Management 56, 102246, 2021 | 229 | 2021 |
| Improving customer attrition prediction by integrating emotions from client/company interaction emails and evaluating multiple classifiers K Coussement, D Van den Poel Expert Systems with Applications 36 (3), 6127-6134, 2009 | 225 | 2009 |
| Customer churn prediction in the online gambling industry: The beneficial effect of ensemble learning K Coussement, KW De Bock Journal of Business Research 66 (9), 1629-1636, 2013 | 205 | 2013 |
| Improved marketing decision making in a customer churn prediction context using generalized additive models K Coussement, DF Benoit, D Van den Poel Expert systems with Applications 37 (3), 2132-2143, 2010 | 162 | 2010 |
| Data accuracy's impact on segmentation performance: Benchmarking RFM analysis, logistic regression, and decision trees K Coussement, FAM Van den Bossche, KW De Bock Journal of Business Research 67 (1), 2751-2758, 2014 | 143 | 2014 |
| Predicting student dropout in subscription-based online learning environments: The beneficial impact of the logit leaf model K Coussement, M Phan, A De Caigny, DF Benoit, A Raes Decision Support Systems 135, 113325, 2020 | 139 | 2020 |
| Incorporating textual information in customer churn prediction models based on a convolutional neural network A De Caigny, K Coussement, KW De Bock, S Lessmann International Journal of Forecasting 36 (4), 1563-1578, 2020 | 132 | 2020 |
| Ensemble classification based on generalized additive models KW De Bock, K Coussement, D Van den Poel Computational Statistics & Data Analysis 54 (6), 1535-1546, 2010 | 90 | 2010 |
| Targeting customers for profit: An ensemble learning framework to support marketing decision-making S Lessmann, J Haupt, K Coussement, KW De Bock Information Sciences 557, 286-301, 2021 | 87 | 2021 |
| Acceptance of text-mining systems: The signaling role of information quality NTM Demoulin, K Coussement Information & management 57 (1), 103120, 2020 | 87 | 2020 |
| A framework for configuring collaborative filtering-based recommendations derived from purchase data S Geuens, K Coussement, KW De Bock European Journal of Operational Research 265 (1), 208-218, 2018 | 73 | 2018 |
| Marketing research with IBM® SPSS statistics: a practical guide K Charry, K Coussement, N Demoulin, N Heuvinck Routledge, 2016 | 57 | 2016 |
| A Bayesian approach for incorporating expert opinions into decision support systems: A case study of online consumer-satisfaction detection K Coussement, DF Benoit, M Antioco Decision Support Systems 79, 24-32, 2015 | 57 | 2015 |
| What makes people share political content on social media? The role of emotion, authority and ideology J Weismueller, P Harrigan, K Coussement, T Tessitore Computers in Human Behavior 129, 107150, 2022 | 53 | 2022 |
| Approaches for credit scorecard calibration: An empirical analysis A Bequé, K Coussement, R Gayler, S Lessmann Knowledge-Based Systems 134, 213-227, 2017 | 50 | 2017 |
Koen W. De BockProfessor of marketing analytics & digital marketing, Audencia Business School, Nantes, France在 audencia.com 的电子邮件经过验证
