Wouter Verbeke

According to our database1, Wouter Verbeke authored at least 17 papers between 2009 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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In proceedings 
Article 
PhD thesis 
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Links

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Bibliography

2018
A Robust profit measure for binary classification model evaluation.
Expert Syst. Appl., 2018

2017
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

2016
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

2014
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

2013
A Novel Profit Maximizing Metric for Measuring Classification Performance of Customer Churn Prediction Models.
IEEE Trans. Knowl. Data Eng., 2013

2012
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

2011
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

2010
Software Effort Prediction Using Regression Rule Extraction from Neural Networks.
Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010

2009
Including Domain Knowledge in Customer Churn Prediction Using AntMiner+.
Proceedings of the Advances in Data Mining in Marketing. 9th Industrial Conference, 2009


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