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Processes, such as patient pathways, can be very complex, comprising ofhundreds of activities and dozens of interleaved subprocesses. While existingprocess discovery algorithms have proven to construct models of high quality onclean logs of structured processes, it still remains a challenge when thealgorithms are being applied to logs of complex processes. The creation of amulti-level, hierarchical representation of a process can help to manage thiscomplexity. However, current approaches that pursue this idea suffer from avariety of weaknesses. In particular, they do not deal well with interleavingsubprocesses. In this paper, we propose FlexHMiner, a three-step approach todiscover processes with multi-level interleaved subprocesses. We implementedFlexHMiner in the open source Process Mining toolkit ProM. We used sevenreal-life logs to compare the qualities of hierarchical models discovered usingdomain knowledge, random clustering, and flat approaches. Our results indicatethat the hierarchical process models that the FlexHMiner generates comparefavorably to approaches that do not exploit hierarchy.

Discovering Hierarchical Processes Using Flexible Activity Trees for Event Abstraction