Kristof Coussement
Zitiert von
Zitiert von
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Acceptance of text-mining systems: The signaling role of information quality
NTM Demoulin, K Coussement
Information & management 57 (1), 103120, 2020
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
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
Improving customer retention management through cost-sensitive learning
K Coussement
European Journal of Marketing, 2014
Marketing research with IBM® SPSS statistics: a practical guide
K Charry, K Coussement, N Demoulin, N Heuvinck
Routledge, 2016
Approaches for credit scorecard calibration: An empirical analysis
A Bequé, K Coussement, R Gayler, S Lessmann
Knowledge-Based Systems 134, 213-227, 2017
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