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Visual Analytics in Process Mining: Classification of Process Mining Techniques
(The Eurographics Association, 2016) Kriglstein, Simone; Pohl, Margit; Rinderle-Ma, Stefanie; Stallinger, Magdalena; Natalia Andrienko and Michael Sedlmair
The 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.