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2012
ACM

Replaying history on process models for conformance checking and performance analysis

7 years 29 days ago
Replaying history on process models for conformance checking and performance analysis
Process mining techniques use event data to discover process models, to check the conformance of predefined process models, and to extend such models with information about bottlenecks, decisions, and resource usage. These techniques are driven by observed events rather than hand-made models. Event logs are used to learn and enrich process models. By replaying history on the model, it is possible to establish a precise relationship between events and model elements. This relationship can be used to check conformance and to analyze performance. For example, it is possible to diagnose deviations from the modeled behavior. The severity of each deviation can be quantified. Moreover, the relationship established during replay and the timestamps in the event log can be combined to show bottlenecks. These examples illustrate the importance of maintaining a proper alignment between event log and process model. Therefore, we elaborate on the realization of such alignments and their applicati...
Wil M. P. van der Aalst, Arya Adriansyah, Boudewij
Added 25 Apr 2012
Updated 25 Apr 2012
Type Journal
Year 2012
Where WIDM
Authors Wil M. P. van der Aalst, Arya Adriansyah, Boudewijn F. van Dongen
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