bupaR received the Best Academic Tool Award at ICPM 2020
BupaR wins the Best Demo Award at ICPM 2020 ...
ReadBlog
Starting as Assistant Professor at TU Eindhoven
In September I started as Assistant Professor in the Process Analytics group of TU Eindhoven
ReadProcessanimateR -- An R library for token animation
Release of the R package processanimateR for token animation based on the bupaR suite.
ReadiDHM @BPM 2017 and Hospital Billing Log
Our demo paper Heuristic Mining Revamped: An Interactive, Data-aware, and Conformance-aware Miner was accepted for presentation at the BPM 2017 conference.
ReadTwo Poster Presentations at BPMDS 2017
Two posters of short papers presented at the BPMDS conference, which is co-located with the CAiSE conference in Essen.
ReadAnalyzing the Trajectories of Patients with Sepsis using Process Mining
Sepsis cases event log and paper at BPMDS.
ReadRevealing Infrequent Behavior with the Data-aware Heuristic Miner
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.
ReadWebsite update & XESLite report
Being 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.
ReadResource-friendly handling of event logs in ProM (XESLite)
Recently, 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.
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