Kriglstein, SimonePohl, MargitRinderle-Ma, StefanieStallinger, MagdalenaNatalia Andrienko and Michael Sedlmair2016-06-092016-06-092016978-3-03868-016-1-https://doi.org/10.2312/eurova.20161123https://diglib.eg.org:443/handle/10The increasing interest from industry and academia has driven the development of process mining techniques over the last years. Since the process mining entails a strong explorative perspective, the combination of process mining and visual analytics methods is a fruitful multidisciplinary solution to enable the exploration and the understanding of large amounts of event log data. In this paper, we propose a first approach how process mining techniques can be categorized with respect to visual analytics aspects. Since ProM is a widely used open-source framework which includes most of the existing process mining techniques as plug-ins, we concentrate on the plugins of ProM as use case to show the applicability of our approach.H.4.m [Information Systems Applications]Miscellaneous10.2312/eurova.2016112343-47