Скачать или смотреть [Night 4] Entropy-Based Conformance Checking Between Designed and Real-World Processes

Conformance checking is an area of process mining that studies methods for measuring and characterizing commonalities and discrepancies between processes recorded in event logs of IT-systems and corresponding designed process models that govern the execution of the IT-systems. Applications of conformance checking range from measuring the quality of models automatically discovered from event logs, via regulatory process compliance, to automated process enhancement.

Recently, the process mining community initiated a discussion on the desired properties the conformance measures should possess. This discussion acknowledges that existing measures often do not satisfy the desired properties. Besides, there is a lack of understanding of which properties the conformance measures should fulfil in the case of partially matching processes.

In this talk, the speaker presents his recent work on conformance measures for process mining based on the concept of entropy from information theory. The introduced measures satisfy all the existing relevant properties. He will also talk about our recent results in stochastic conformance checking, a variant of conformance checking that accounts for the frequencies of traces in the compared logs and specially annotated stochastic process models.

Speaker: Dr Artem Polyvyanyy, senior lecturer at the School of Computing and Information Systems, Faculty of Engineering and Information Technology, University of Melbourne.

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