Talks and Poster Presentations (with Proceedings-Entry):
S. Kriglstein, M. Pohl, S. Rinderle-Ma, M. Stallinger:
"Visual Analytics in Process Mining: Classification of Process Mining Techniques";
Talk: 7th International Eurovis Workshop on Visual Analytics (EuroVA),
Groningen, the Netherlands;
- 2016-06-07; in: "EuroVis Workshop on Visual Analytics",
The Eurographics Association,
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.
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
Created from the Publication Database of the Vienna University of Technology.