Thomas Verbraken

According to our database, Thomas Verbraken authored at least 9 papers between 2011 and 2015.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2015

Profit-based feature selection using support vector machines - General framework and an application for customer retention.

Sebastián Maldonado, Álvaro Flores, Thomas Verbraken, Bart Baesens, Richard Weber

Appl. Soft Comput., 2015

2014

Profit optimizing customer churn prediction with Bayesian network classifiers.

Thomas Verbraken, Wouter Verbeke, Bart Baesens

Intell. Data Anal., 2014

Development and application of consumer credit scoring models using profit-based classification measures.

Thomas Verbraken, Cristián Bravo, Richard Weber, Bart Baesens

Eur. J. Oper. Res., 2014

Predicting online channel acceptance with social network data.

Thomas Verbraken, Frank Goethals, Wouter Verbeke, Bart Baesens

Decis. Support Syst., 2014

A new knowledge-based constrained clustering approach: Theory and application in direct marketing.

Alex Seret, Thomas Verbraken, Bart Baesens

Appl. Soft Comput., 2014

2013

Toward Comprehensible Software Fault Prediction Models Using Bayesian Network Classifiers.

Karel Dejaeger, Thomas Verbraken, Bart Baesens

IEEE Trans. Software Eng., 2013

A Novel Profit Maximizing Metric for Measuring Classification Performance of Customer Churn Prediction Models.

Thomas Verbraken, Wouter Verbeke, Bart Baesens

IEEE Trans. Knowl. Data Eng., 2013

2012

A new SOM-based method for profile generation: Theory and an application in direct marketing.

Alex Seret, Thomas Verbraken, Sébastien Versailles, Bart Baesens

Eur. J. Oper. Res., 2012

2011

Using Social Network Classifiers for Predicting E-Commerce Adoption.

Thomas Verbraken, Frank Goethals, Wouter Verbeke, Bart Baesens

Proceedings of the E-Life: Web-Enabled Convergence of Commerce, Work, and Social Life, 2011