Abstract
Within process mining, we can identify conformance checking as the task of computing the extent to which executions of a process model are in line with the reference behavior. Most approaches currently available in the literature (for imperative models, such as Petri nets) perform just a-posteriori analyses. This means that the amount of nonconformant behavior is quantified after the completion of the current execution. The tool presented in this paper, instead, proposes an
approach for online conformance checking: not only it is capable of quantifying the deviating behavior on the fly, but the computation complexity is also restricted
to a constant complexity per event analyzed. This enables the online analysis of an infinite stream of events. The tool is implemented as a package of the ProM framework and promising results have been obtained and are presented in this paper.
approach for online conformance checking: not only it is capable of quantifying the deviating behavior on the fly, but the computation complexity is also restricted
to a constant complexity per event analyzed. This enables the online analysis of an infinite stream of events. The tool is implemented as a package of the ProM framework and promising results have been obtained and are presented in this paper.
| Original language | English |
|---|---|
| Title of host publication | Online Proceedings of the BPM Demo Track 2017 |
| Number of pages | 5 |
| Publication date | 2017 |
| Publication status | Published - 2017 |
| Event | 15th International Conference on Business Process Management - Barcelona, Spain Duration: 10 Sept 2017 → 15 Sept 2017 Conference number: 15 |
Conference
| Conference | 15th International Conference on Business Process Management |
|---|---|
| Number | 15 |
| Country/Territory | Spain |
| City | Barcelona |
| Period | 10/09/2017 → 15/09/2017 |
Keywords
- Online process mining
- Conformance checking
- Event stream