Publication CAiSE 2016 (16.02.2016)

The paper titled "Efficient and Customisable Declarative Process Mining with SQL" has been accepted for publication at the 28th International Conference on Advanced Information Systems Engineering (CAiSE 2016), which will be held in Ljubljana in June 13-17. The acceptance rate this year was 16.5%. The paper introduces a process mining approach that works on relational event data by querying event logs with conventional SQL. Queries can be customised and cover process perspectives beyond control flow, e.g., organisational aspects. It is a collaboration between the Vienna University of Economics and Business (Austria) and the University of Bayreuth (Germany), specifically:

  • Stefan Schönig: Vienna University of Economics and Business
  • Andreas Rogge-Solti: Vienna University of Economics and Business
  • Cristina Cabanillas: Vienna University of Economics and Business
  • Stefan Jablonski: University of Bayreuth
  • Jan Mendling: Vienna University of Economics and Business

In the following a photo of the venue location of CAiSE 2016:

Ljubljana