1. 2015
  2. Building multi-armed fraud detection systems using descriptive, predictive and social network analytics

    Baesens, B., Van Vlasselaer, V. & Verbeke, W., 17 Jul 2015, Analytics India Magazine, 2015, 7.

    Research output: Contribution to specialist/vulgarizing publicationArticleSpecialist

  3. Conventional, Hybrid, or Electric Vehicles: Which Technology for an Urban Distribution Centre?

    Lebeau, P., De Cauwer, C., Van Mierlo, J., Macharis, C., Verbeke, W. & Coosemans, T. C., 6 Jul 2015, In : The Scientific World Journal. 2015, 11 p., 302867.

    Research output: Contribution to journalArticleResearchpeer-review

  4. Networks vs. Fraud: Connecting the dots

    Baesens, B., Van Vlasselaer, V. & Verbeke, W., 29 Jun 2015, Analytics, p. 58-62 5 p.

    Research output: Contribution to specialist/vulgarizing publicationArticleVulgarizing

  5. A Survey on Cost-Sensitive Classification

    Petrides, G. & Verbeke, W., 2015, Proceedings of the Second Conference on Business Analytics in Finance and Industry. p. 55-55 1 p.

    Research output: Chapter in Book/Report/Conference proceedingMeeting abstract (Book)Research

  6. Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques: A Guide to Data Science for Fraud Detection

    Baesens, B., Van Vlasselaer, V. & Verbeke, W., 2015, Wiley. 400 p. (Wiley and SAS Business Series)

    Research output: Book/ReportBookResearch

  7. 2014
  8. Developing a fleet size and mix vehicle routing problem with time windows for electric vehicles

    Lebeau, P., Van Mierlo, J., Macharis, C. & Verbeke, W., 3 Dec 2014, Conference Proceedings European Electric Vehicle Congress 2014. (Proceedings of the European Electric Vehicle Congress).

    Research output: Chapter in Book/Report/Conference proceedingConference paperResearch

  9. Predicting online channel acceptance with social network data

    Verbraken, T., Goethals, F., Verbeke, W. & Baesens, B., Jul 2014, In : Decision Support Systems. 63, p. 104-114 11 p.

    Research output: Contribution to journalArticleResearchpeer-review

  10. Profit Optimizing Customer Churn Prediction with Bayesian Network Classifiers

    Verbraken, T., Verbeke, W. & Baesens, B., 2014, In : Intelligent Data Analysis. 18, p. 3-24 22 p.

    Research output: Contribution to journalArticleResearchpeer-review

  11. Social Network Analysis for Customer Churn Prediction

    Verbeke, W., Martens, D. & Baesens, B., 2014, In : Applied Soft Computing. 14, p. 431-446 16 p.

    Research output: Contribution to journalArticleResearchpeer-review

  12. 2013
  13. A Novel Profit Maximizing Metric for Measuring Classification Performance of Customer Churn Prediction Models

    Verbraken, T., Verbeke, W. & Baesens, B., 2013, In : IEEE Transactions on Knowledge and Data Engineering. 25, 5, p. 961-973 13 p.

    Research output: Contribution to journalArticleResearchpeer-review

ID: 214933