According to our database1, Wouter Verbeke authored at least 17 papers between 2009 and 2018.
Legend:Book In proceedings Article PhD thesis Other
A Robust profit measure for binary classification model evaluation.
Expert Syst. Appl., 2018
Social network analytics for churn prediction in telco: Model building, evaluation and network architecture.
Expert Syst. Appl., 2017
Recommendation-Based Conceptual Modeling and Ontology Evolution Framework (CMOE+).
Business & Information Systems Engineering, 2017
RULEM: A novel heuristic rule learning approach for ordinal classification with monotonicity constraints.
Appl. Soft Comput., 2017
A comparative study of social network classifiers for predicting churn in the telecommunication industry.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016
Profit optimizing customer churn prediction with Bayesian network classifiers.
Intell. Data Anal., 2014
Predicting online channel acceptance with social network data.
Decision Support Systems, 2014
Social network analysis for customer churn prediction.
Appl. Soft Comput., 2014
A Novel Profit Maximizing Metric for Measuring Classification Performance of Customer Churn Prediction Models.
IEEE Trans. Knowl. Data Eng., 2013
Profit driven data mining in massive customer networks: new insights and algorithms.
PhD thesis, 2012
Data Mining Techniques for Software Effort Estimation: A Comparative Study.
IEEE Trans. Software Eng., 2012
New insights into churn prediction in the telecommunication sector: A profit driven data mining approach.
European Journal of Operational Research, 2012
Building comprehensible customer churn prediction models with advanced rule induction techniques.
Expert Syst. Appl., 2011
Performance of classification models from a user perspective.
Decision Support Systems, 2011
Using Social Network Classifiers for Predicting E-Commerce Adoption.
Proceedings of the E-Life: Web-Enabled Convergence of Commerce, Work, and Social Life, 2011
Software Effort Prediction Using Regression Rule Extraction from Neural Networks.
Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010
Including Domain Knowledge in Customer Churn Prediction Using AntMiner+.
Proceedings of the Advances in Data Mining in Marketing. 9th Industrial Conference, 2009