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Summary: Article type: Focus Article
Replaying History on Process Models for
Conformance Checking and Performance
Analysis
Wil van der Aalst, Arya Adriansyah, and Boudewijn van Dongen
Department of Mathematics and Computer Science, Technische Universiteit
Eindhoven, The Netherlands.
Keywords
process mining, conformance checking, automated process discovery, Petri
nets, business intelligence
Abstract
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 mod-
els. 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 confor-
mance and to analyze performance. For example, it is possible to diagnose
deviations from the modeled behavior. The severity of each deviation can be
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