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; 2016-06-06 - 2016-06-07; in: "EuroVis Workshop on Visual Analytics", The Eurographics Association, (2016), ISBN: 978-3-03868-016-1; 43 - 47.

English abstract:
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.