Conformance checking is the problem to pinpoint deviations between how processes are executed in reality and how processes are expected to be performed according to norms, regulations and protocols. The executions are recorded in event logs, while the expected behaviors are encoded in a process model. The complexity of the problem is exponential with respect to the size of the model, this makes the problem not scale when models become very large. To keep the problem tractable, one can decompose the model into parts for which conformance checking is carried out.

Conformance Checking of Large Process Model: An Approach based on Decomposition

MA, JIAWEI
2021/2022

Abstract

Conformance checking is the problem to pinpoint deviations between how processes are executed in reality and how processes are expected to be performed according to norms, regulations and protocols. The executions are recorded in event logs, while the expected behaviors are encoded in a process model. The complexity of the problem is exponential with respect to the size of the model, this makes the problem not scale when models become very large. To keep the problem tractable, one can decompose the model into parts for which conformance checking is carried out.
2021
Conformance Checking of Large Process Model: An Approach based on Decomposition
Process Mining
Big Data
Model Decomposition
Conformance Checking
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12608/29704