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Root cause analysis with enriched process logs

Suriadi, Suriadi, Ouyang, Chun, van der Aalst, Wil M.P., & ter Hofstede, Arthur (2013) Root cause analysis with enriched process logs. Lecture Notes in Business Information Processing [Business Process Management Workshops: BPM 2012 International Workshops Revised Papers], 132, pp. 174-186.

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Abstract

In the field of process mining, the use of event logs for the purpose of root cause analysis is increasingly studied. In such an analysis, the availability of attributes/features that may explain the root cause of some phenomena is crucial. Currently, the process of obtaining these attributes from raw event logs is performed more or less on a case-by-case basis: there is still a lack of generalized systematic approach that captures this process. This paper proposes a systematic approach to enrich and transform event logs in order to obtain the required attributes for root cause analysis using classical data mining techniques, the classification techniques. This approach is formalized and its applicability has been validated using both self-generated and publicly-available logs.

Impact and interest:

4 citations in Scopus
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ID Code: 50748
Item Type: Journal Article
Keywords: root cause analysis, process mining, workload, business process management
DOI: 10.1007/978-3-642-36285-9_18
ISSN: 1865-1348
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600)
Divisions: Current > Schools > School of Information Systems
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2013 Springer-Verlag Berlin Heidelberg.
Deposited On: 05 Jun 2012 08:31
Last Modified: 09 Jan 2014 10:06

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