News

Professor Wouter Verbeke will be presenting at the Enterprise Data & Machine Learning Forum at IBM Silicon Valley Lab on October, 8. He will first give a session about putting analytics to work. In the afternoon, he will also lead an open discussion about Fraud Analytics, handling the experiences, practices and benefits that organizations are seeing by leveraging Data, Analytics and Machine Learning in their core operational practices.

Jente Van Belle will be presenting his research “A Step Towards Demand Sensing: Using Open Orders in Demand Forecasting” at ISF2018.

Our Special Issue on Profit-Driven Analytics is available online. Professor Wouter Verbeke guest-edited the issue together with Professor Bart Baesens and Professor Cristián Bravo. As part of the issue, we can also find the paper on Uplift Modeling written by Floris Devriendt, together with Professor Darie Moldovan and Professor Wouter Verbeke.

Floris Devriendt joins the Humboldt-Universität in Berlin for a 1-month research collaboration on profit-driven uplift modeling. He will work together with Professor Dr. Stefan Lessmann, Chair of Information Systems at the School of Business and Economics.

Recruitment closed.
We are looking for 2 motivated Ph.D. researchers who will investigate broadly applicable machine learning techniques that can address a companies' problems.

Download for free the latest article published by Prof. dr. Verbeke in Applied Soft Computing: ‘RULEM: A Novel Heuristic Rule Learning Approach for Ordinal Classification with Monotonicity Constraints'.

Professor Verbeke provides a training on Credit Risk Modeling for Basel III at the National Bank of Belgium - European Central Bank.

The lab participates in the interuniversity IOF-TTO event on ‘Data & Software - How open is the future?’, in Brussels, with a presentation titled ‘The value of data in predicting demand’. More information.

Nadejda Alkhaldi, research associate of the Data Analytics Laboratory, will publicly defend her Ph.D. dissertation entitled “On the Symbioses between Conceptual Modeling and Ontology Engineering: Recommendation-Based Conceptual Modeling” on November 17th at Vrije Universiteit Brussel. Promotors are Prof.dr. Frederik Gailly (Ghent University), Prof.dr. Sven Casteleyn (Universitat Jaume I de Castelló), and Prof.dr. Wouter Verbeke (Vrije Universiteit Brussel).

Recruitment closed.
We are looking for a motivated Ph.D. researcher who will work on developing a framework for integrating data analytics applications and the development of profit-driven data analytics. Knowledge of Dutch is required, since some teaching is involved.

The lab participates in the European machine learning and data mining conference, ECMLPKDD, with a paper on "Learning constraints in spreadsheets and tabular data, TaCLe" and a talk at the PhD forum on "Tips for a succesful PhD, and how to win an award with it".

The lab participates in IJCAI, the premier international AI conference, in Melbourne in August with a tutorial on Data Mining using Constraint Programming, a paper on Stochastic Constraint Programming with And-Or Branch-and-Bound and a workshop invited talk on Report on the Artificial Intelligence Special Issue on Combining Constraint Solving with Mining and Learning.