4 papers
In System Alignments we Trust! Explainable Alignments via Projections
Dominique Sommers, Natalia Sidorova, Boudewijn van Dongen
Alignments are a well-known process mining technique for reconciling system logs and normative process models. Evidence of certain behaviors in a real system may only be present in…
A Ground Truth Approach for Assessing Process Mining Techniques
Dominique Sommers, Natalia Sidorova, Boudewijn van Dongen
The assessment of process mining techniques using real-life data is often compromised by the lack of ground truth knowledge, the presence of non-essential outliers in system behavi…
Exact and Approximated Log Alignments for Processes with Inter-case Dependencies
Dominique Sommers, Natalia Sidorova, Boudewijn F. van Dongen
The execution of different cases of a process is often restricted by inter-case dependencies through e.g., queueing or shared resources. Various high-level Petri net formalisms hav…
Process Discovery Using Graph Neural Networks
Dominique Sommers, Vlado Menkovski, Dirk Fahland
Automatically discovering a process model from an event log is the prime problem in process mining. This task is so far approached as an unsupervised learning problem through graph…