Aggregating causal runs into workflow nets

Onderzoeksoutput: Boek/rapportRapportAcademic

26 Downloads (Pure)

Samenvatting

This paper provides three algorithms for constructing system nets from sets of partially-ordered causal runs. The three aggregation algorithms differ with respect to the assumptions about the information contained in the causal runs. Specifically, we look at the situations where labels of con- ditions (i.e. references to places) or events (i.e. references to transitions) are unknown. Since the paper focusses on aggregation in the context of process mining, we solely look at work ow nets, i.e. the class of Petri nets with unique start and end places. The dierence of the work presented here and most work on process mining is the assumption that events are logged as partial orders instead of linear traces. Although the work is inspired by applications in the process mining and work ow domains, the results are generic and can be applied in other application domains. Keywords: Process mining, Petri net Synthesis, Aggregation, Runs, Process nets
Originele taal-2Engels
Plaats van productieEindhoven
UitgeverijTechnische Universiteit Eindhoven
Aantal pagina's30
ISBN van geprinte versie90-386-0746-6
StatusGepubliceerd - 2006

Publicatie series

NaamBETA publicatie : working papers
Volume173
ISSN van geprinte versie1386-9213

    Vingerafdruk

Citeer dit

Dongen, van, B. F., Desel, J., & Aalst, van der, W. M. P. (2006). Aggregating causal runs into workflow nets. (BETA publicatie : working papers; Vol. 173). Eindhoven: Technische Universiteit Eindhoven.