Our paper Data-driven Process Discovery - Revealing Conditional Infrequent Behavior from Event Logs (preprint) has been accepted for presentation at the CAiSE 2017 conference in Essen.
ReadBeing busy writing on a PhD thesis includes reflecting on the work that I have accomplished in the last 3 1/2 years. What else would be more appropriate to update my website to reflect this.
ReadRecently, I wanted to apply some plug-ins of the Process Mining tool-set ProM on a real-life event log that contained a bit more attributes than the usual concept:name and time:timestamp for each event. This event log contained 155,000 cases and about 1.2 million events, each with 30 attributes. Definitely this is not a small event log, but it is also far away from being Big Data. The compressed XES file just takes about 17 MB of disk space.
Read
