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.
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:
Citation counts are sourced monthly from and citation databases.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
|Item Type:||Journal Article|
|Keywords:||root cause analysis, process mining, workload, business process management|
|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:||04 Jun 2012 22:31|
|Last Modified:||09 Jan 2014 00:06|
Repository Staff Only: item control page