Publications

1. Book

  • 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. More information can be found via Gower’s web site.

2. Published papers in refereed journals

  • 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), 2751–2758 (download).
  • 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 (download).
  • 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 (download).
  • 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 (download).
  • 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 (download).
  • 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 (download).

3. Book chapters

  • 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.
  • 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.
  • 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 (download).

4. Communications and presentations in refereed conferences

  • Geuens, S., Coussement, K. and De Bock, K.W., 2014, Evaluating Collaborative Filtering: Methods within a Binary Purchase Setting. ECML/PKDD Conference, Nancy, France.
  • De Bock, K.W., Lessmann, S. And Coussement, K., 2014, Multicriteria optimization for cost-sensitive ensemble selection in business failure prediction, 20th Conference of the International Federation of Operational Research Societies (IFORS 2014) (abstract), Barcelona, Spain.
  • De Bock, K.W., 2013, Deploying Dynamic Ensemble Selection To Tackle Concept Drift in Predictive Customer Analytics, 26th European Conference on Operational Research (EURO 2013) (abstract), Rome, Italy.
  • Debrulle, J., De Bock, K.W., De Winne, S. and Sels, L., 2013, Getting Off On The Right Foot: Identifying Persistent Configurations Of Initial Resources, Strategy And Environment That Enable Start-Ups To Achieve A Sustainable Competitive Advantage. Babson College Entrepreneurship Research Conference (BCERC 2013) (abstract), Lyon, France.
  • De Bock, K.W. and Coussement, K., 2012, Remedying the Expiration of Churn Prediction Models with Multiple Classifier Algorithms. Proc. INFORMS Marketing Science 2012 (abstract), Boston, MA, USA.
  • Coussement, K., De Bock, K.W. and Lessmann, S., Ensemble Selection for Churn Prediction in the Telecommunications Industry. Proc. INFORMS Marketing Science 2012 (abstract), Boston, MA, USA.
  • De Bock, K.W., and Van den Poel, D., 2010, Strategies for Extracting Knowledge from Ensemble Classifiers Based on Generalized Additive Models. Proc. 2011 Joint Statistical Meeting (JSM 2011; ASA) (abstract), Miami, FL, USA.
  • De Bock, K.W., Coussement, K. and Van den Poel, D., 2010, Ensemble Classification based on Generalized Additive Models. Proc. 2010 Joint Statistical Meeting (JSM 2010; ASA) (abstract), Vancouver, Canada.
  • De Bock, K.W. and Van den Poel, D., 2010, Customer Churn Prediction using Ensemble Classifiers based on Generalized Additive Models. Proc. 34th Annual Conference of the German Classification Society (GfKl), Karlsruhe, Germany.
  • De Bock, K.W. and Van den Poel, D., 2010, Ensembles of probability estimation trees for customer churn prediction, Proc. 23rd International Conference for Industrial, Engineering and other Applications of Applied Intelligent Systems (IEA-AIE 2010), Cordoba, Spain.
  • De Bock, K.W. and Van den Poel, D., 2009, Demographic Classification of Anonymous Web Site Visitors Using Click Stream Information: A Practical Method for Supporting Online Advertising, Proceedings of the 2009 Joint Statistical Meetings (JSM 2009), Washington, DC, USA.

5. Other presentations

  • De Bock, K.W., 2015, Organizing online team peer evaluation. Petit déjeuner pédagogique du CAP (Comité Académique et Pédagogique), University Catholique de Lille, Lille, France.
  • De Bock, K.W., 2014, Organizing online team peer evaluation. Pedagogical café, IESEG School of Management, Lille, France.
  • De Bock, K.W. and Coussement, K., 2012, I am Begging You! – Customer Churn Prediction Using Generalized Additive Models, Research Seminar Series of the Center of Excellence on Consumers & Marketing Strategy (CCMS, Louvain School of Management Research Instititute), Université de Namur, Namur, Belgium.
  • De Bock, K.W., 2012, L’Union Fait La Force!  – Recent Developments and Applications of Ensemble Models for Customer Intelligence, SAS Forum France 2012, Paris, France.
  • De Bock, K.W., 2012, Merging models in search for predictive synergy: an introduction to ensemble learning for enhanced customer intelligence, SAS Analytics 2012, Cologne, Germany.
  • De Bock, K.W., 2011, The Future of Internet Marketing is Inbound: On Deploying Search and Word-Of-Mouse To Accomplish Online Marketing Objectives, Beyond Business Borders: USB Alumni Refresher Event, Bellville, Cape Town, South Africa.
  • De Bock, K.W., 2011, When Predictive Models Join Forces: on the How and Why of Ensemble Learning for Customer Intelligence, SAS Forum Belux, Louvain-La-Neuve, Belgium.
  • Coussement, K. and De Bock, K.W., 2011, Please Don’t Go! An Empirical Investigation of Generalized Additive Models for Customer Churn Prediction, LEM Research Day, Lille, France.
  • De Bock, K.W., 2010, Boosting Customer Intelligence: An introduction to ensemble learning for enhanced predictive database marketing, Keynote presentation at the BAQMaR 2010 Conference, Ghent, Belgium.

6. Research monograph

  • De Bock, K.W., 2010, Enhancing Database Marketing with Ensemble Learning, Ph.D. Thesis, University Press.

7. Research software

  • De Bock, K.W., Coussement, K., and Van den Poel, D., 2010. GAMens: Applies GAMens, GAMrsm and GAMbag ensemble classifiers, R Package version 1.1.3 (software package and manual available at the R Project CRAN Network).