The field of process mining is concerned with supporting the analysis, improvement and understanding of business processes. A range of promising techniques have been proposed for process mining tasks such as process discovery and conformance checking. However there are challenges, originally stemming from the area of data mining, that have not been investigated extensively in context of process mining. In particular the incorporation of data stream mining techniques w.r.t. process mining has received little attention. In this paper, we present new developments that build on top of previous work related to the integration of data streams within the process mining framework ProM. We have developed means to use Coloured Petri Net (CPN) models as a basis for eventstream generation. The newly introduced functionality greatly enhances the use of event-streams in context of process mining as it allows us to be actively aware of the originating model of the event-stream under analysis.
Keywords: Process mining, event-streams, coloured Petri nets, ProM, CPN Tools
|Title of host publication||Proceedings of the Demo Session of the 13th International Conference on Business Process Management (BPM 2015, Innsbruck, Austria, August 31-September 3, 2015)|
|Editors||F. Daniel, S. Zugal|
|Publication status||Published - 2015|
|Name||CEUR Workshop Proceedings|