Thomas Verbraken

THOMAS VERBRAKEN

Publications

Articles in internationally reviewed academic journals

Verbraken, T., Goethals, F., Verbeke, W., Baesens, B. (2013). Predicting online channel acceptance with social network data. Decision Support Systems (accepted).
Abstract / Full article

Verbraken, T., Verbeke, W., Baesens, B. (2013). A novel profit maximizing metric for measuring classification performance of customer churn prediction models. IEEE Transactions on Knowledge and Data Engineering, 25(5), 961-973.
Abstract / Full article

Dejaeger, K., Verbraken, T., Baesens, B. (2013). Towards comprehensible software fault prediction models using Bayesian network classifiers. IEEE Transactions on Software Engineering, 39(2), 237-257.
Abstract / Full article

Seret, A., Verbraken, T., Versailles, S., Baesens, B. (2012). A new SOM-based method for profile generation: theory and an application in direct marketing. European Journal of Operational Research, 220 (1) , 199-209.
Abstract / Full article

Verbraken, T., Verbeke, W., Baesens, B. (2014). Profit optimizing customer churn prediction with Bayesian network classifiers. Intelligent Data Analysis , 18 (1) , 3-24.
Abstract / Full article

Article in academic book, internationally recognised scientific Full article

Verbraken, T., Van Vlasselaer, V., Verbeke, W., Martens, D., Baesens, B. (2013). Advanced rule base learning: active learning, rule extraction, and incorporating domain knowledge. In: Coussement K., De Bock K., Neslin S. (Eds.), Advanced database marketing: innovative methodologies & applications for managing customer relationships. London (UK): Gower Publishing.

Papers at international scientific conferences and symposia, published in full in proceedings

Verbraken, T., Goethals, F., Verbeke, W., Baesens, B. (2012). Using social network classifiers for predicting e-commerce adoption. E-Life: Web-Enabled Convergence of Commerce, Work, and Social Life: Vol. 108. The Tenth Workshop on E-Business (WEB2011). Shanghai (China), 4 December 2011 (pp. 9-21).
Abstract

Meeting abstracts, presented at international scientific conferences and symposia, published or not published in proceedings or journals

Verbraken, T., Lessmann, S., Baesens, B. (2012). Toward profit-driven churn modeling with predictive marketing analytics. Cloud computing and analytics: innovations in e-business services. Workshop on E-Business (WEB2012). Orlando (US), 15 December 2012.
Abstract

Verbraken T., Verbeke W., Bravo C., Weber R., Baesens B., (2012). A profit-based performance measure for consumer credit scoring models. IADIS European Conference on Data Mining 2012 (ECDM'12), Lisbon (Portugal), 21- 23 July, 2012.
Abstract

Dejaeger, K., Verbraken, T., Baesens, B. (2012). Assessing Bayesian network classifiers for software defect prediction. EURO 2012 conference. Vilnius (Latvia), 9-11 July 2012.

Verbeke, W., Verbraken, T., Martens, D., Baesens, B. (2011). Relational learning for customer churn prediction: the complementarity of networked and non-networked classifiers. Conference on the Analysis of Mobile Phone Datasets and Networks. Cambridge (US), 10 -11 October 2011.
Abstract

Verbeke, W., Dejaeger, K., Verbraken, T., Martens, D., Baesens, B. (2011). Mining social networks for customer churn prediction. Interdisciplinary Workshop on Information and Decision in Social Networks. Cambridge (US), 31 May - 1 June 2011.
Abstract