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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Root Cause Analysis with Enriched Process Logs
verfasst von : Suriadi Suriadi, Chun Ouyang, Wil M. P. van der Aalst, Arthur H. M. ter Hofstede
Erschienen in: Business Process Management Workshops
Verlag: Springer Berlin Heidelberg
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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.