Vorträge und Posterpräsentationen (mit Tagungsband-Eintrag):
S. Kriglstein, M. Pohl, S. Rinderle-Ma, M. Stallinger:
"Visual Analytics in Process Mining: Classification of Process Mining Techniques";
Vortrag: 7th International Eurovis Workshop on Visual Analytics (EuroVA),
Groningen, the Netherlands;
06.06.2016
- 07.06.2016; in: "EuroVis Workshop on Visual Analytics",
The Eurographics Association,
(2016),
ISBN: 978-3-03868-016-1;
S. 43
- 47.
Kurzfassung englisch:
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.
"Offizielle" elektronische Version der Publikation (entsprechend ihrem Digital Object Identifier - DOI)
http://dx.doi.org/10.2312/eurova.20161123
Erstellt aus der Publikationsdatenbank der Technischen Universität Wien.