# Timeline-based Process Discovery. (arXiv:2401.04114v1 [cs.HC])


A key concern of automatic process discovery is to provide insights into
performance aspects of business processes. Waiting times are of particular
importance in this context. For that reason, it is surprising that current
techniques for automatic process discovery generate directly-follows graphs and
comparable process models, but often miss the opportunity to explicitly
represent the time axis. In this paper, we present an approach for automatically
constructing process models that explicitly align with a time axis. We exemplify
our approach for directly-follows graphs. Our evaluation using two BPIC datasets
and a proprietary dataset highlight the benefits of this representation in

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