A Comprehensive Benchmarking Framework (CoBeFra) for conformance analysis between procedural process models and event logs in ProM

vanden Broucke, Seppe, De Weerdt, Jochen, Baesens, Bart, & Vanthienen, Jan (2013) A Comprehensive Benchmarking Framework (CoBeFra) for conformance analysis between procedural process models and event logs in ProM. In Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2013), part of the IEEE Symposium Series in Computational Intelligence 2013, IEEE, Grand Copthorne Hotel, Singapore, pp. 254-261.

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Process mining encompasses the research area which is concerned with knowledge discovery from information system event logs. Within the process mining research area, two prominent tasks can be discerned. First of all, process discovery deals with the automatic construction of a process model out of an event log. Secondly, conformance checking focuses on the assessment of the quality of a discovered or designed process model in respect to the actual behavior as captured in event logs. Hereto, multiple techniques and metrics have been developed and described in the literature. However, the process mining domain still lacks a comprehensive framework for assessing the goodness of a process model from a quantitative perspective. In this study, we describe the architecture of an extensible framework within ProM, allowing for the consistent, comparative and repeatable calculation of conformance metrics. For the development and assessment of both process discovery as well as conformance techniques, such a framework is considered greatly valuable.

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14 citations in Scopus
5 citations in Web of Science®
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ID Code: 57682
Item Type: Conference Paper
Refereed: Yes
DOI: 10.1109/CIDM.2013.6597244
ISBN: 978-1-4673-5895-8
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600) > Information Systems Management (080609)
Divisions: Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2013 IEEE
Copyright Statement: This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible
Deposited On: 28 Feb 2013 22:11
Last Modified: 24 Jun 2017 08:58

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