Koen W. DE BOCK

Professeur associé

Expertises

Big data
Marketing digital
Machine learning
Data mining

Curriculum vitae

PhD Economie appliquée (Marketing)
Université de Gand, Belgique (2010)

MSc Analyse Marketing
Université de Gand, Belgique  (2006)

MSc Economie appliquée
Université d'Anvers, Belgique (2005)

Publications

2018

GEUENS, S., COUSSEMENT, K., & DE BOCK, K. (2018). A framework for configuring collaborative filtering-based recommendations derived from purchase data. European Journal of Operational Research, 265(1), 208-218.

2017

DE BOCK, K.W. (2017). The best of two worlds: Balancing model strength and comprehensibility in business failure prediction using spline-rule ensembles. Expert Systems with Applications, 90, 23-39.

2014

Coussement, K., Van Den Bossche, F. A. M. and De Bock, K.W., 2014, Data Accuracy’s Impact on Segmentation Performance: Comparing RFM, Logistic Regression and Decision Trees, Journal of Business Research, 67(1), pp. 2751–2758.

2013

Coussement, K. and De Bock, K.W., 2013, Customer Churn Prediction in the Online Gambling Industry: The Beneficial Effect of Ensemble Learning, Journal of Business Research, 66(9), pp. 1629–1636.

2012

De Bock, K.W. and Van den Poel, D., 2012, Reconciling Performance and Interpretability in Customer Churn Prediction Modeling Using Ensemble Learning Based on Generalized Additive Models, Expert Systems With Applications, 39(8), pp. 6816–6826.

2011

De Bock, K.W. and Van den Poel, D., 2011, An empirical evaluation of rotation-based ensemble classifiers for customer churn prediction, Expert Systems With Applications, 38 (10), pp. 12293-12301.

2010

De Bock, K.W. Coussement, K. and Van den Poel, D., 2010, Ensemble Classification Based on Generalized Additive Models, Computational Statistics & Data Analysis, 54(6), pp. 1535-1546.

De Bock, K.W. and Van den Poel, D., 2010, Predicting website audience demographics for web advertising targeting using multi-website clickstream data, Fundamenta Informaticae, 98 (1), pp. 49-97.

2015

Boujena, O., Coussement, K. and De Bock, K.W., 2015, Data Driven Customer Centricity: CRM Predictive Analytics, in T. Tsiakis (Ed.), Handbook of Research on Innovations in Marketing Information Systems, IGI Global Publishing, Pennsylvania, USA.

2014

Coussement, K., De Bock, K.W. and Neslin, S.A., 2014, Advanced Database Marketing: Innovative Methodologies and Applications for Managing Customer Relationships (translated in simplified Chinese), The China Enterprise Management Publishing House, Beijing (China).

2013

Coussement, K., De Bock, K.W. and Neslin, S.A., 2013, Advanced Database Marketing: Innovative Methodologies and Applications for Managing Customer Relationships, Gower/Ashgate, London, UK.

De Bock, K.W. and Coussement, K., 2013, Ensemble Learning in Database Marketing. In: Coussement, K., De Bock, K.W. and Neslin, S.A. (Eds.), Advanced Database Marketing: Innovative Methodologies and Applications for Managing Customer Relationships, Gower/Ashgate, London, UK.

Coussement, K. and De Bock, K.W., 2013, Text Mining for Database Marketing. In: Coussement, K., De Bock, K.W. and Neslin, S.A. (Eds.), Advanced Database Marketing: Innovative Methodologies and Applications for Managing Customer Relationships, Gower/Ashgate, London, UK.

2010

De Bock, K.W. and Van den Poel, D., 2010, Ensembles of probability estimation trees for customer churn prediction, Lecture Notes in Artificial Intelligence, 6097, pp. 57-66.

Nombreuses communications au sein de :

  • Conference of Business Analytics in Finance and Industry (BAFI)
  • European Conference on Operational Research (EURO)
  • European Conference on Information Systems (ECIS)
  • Conference of the International Federation of Operational Research Societies (IFORS)
  • Babson College Entrepreneurship Research Conference (BCERC)
  • INFORMS
  • Joint Statistical Meeting (JSM)
  • Annual Conference of the German Classification Society
  • International Conference for Industrial, Engineering and other Applications of Applied Intelligent Systems (IEA-AIEI)

Logiciel
De Bock, K.W., Coussement, K., and Van den Poel, D., 2016. GAMens: Applies GAMens, GAMrsm and GAMbag ensemble classifiers, R Package version 1.2 (software package and manual available at http://cran.r-project.org/).

Rapport de recherche
Debrulle, J., De Winne, S., & De Bock, K.W., 2013, Goed begonnen is half gewonnen: Hoe combinaties van initiële resources, strategie en omgeving startende vennootschappen toelaten een duurzaam competitief voordeel op te bouwen. Steunpunt Ondernemen & Regionale Economie (Flemish Government Research Report), Brussels, Belgium

Activités scientifiques

Ad-hoc Reviewer : 

  • Journal of Business Research
  • European Journal of Operational Research
  • Pattern Recognition Letters
  • Expert Systems with Applications
  • Academy of Marketing Science