In the field of process mining, the exploitation of event logs for the purpose of root cause analysis is a relatively unexplored area. This paper proposes an approach to enrich and transform process-based logs for the purpose of root cause analysis through the application of classification techniques. This approach facilitites an objective identification of the root cause(s) of various incidents as it is grounded on what has actually happened, thus, minimizing the influence of subjective perceptions in the results. The approach proposed in this paper is formalized and its applicability has been validated using both self-generated logs and a publicly-available log. Topic classification: Mining of business processes
In REF , an approach for Root Cause Analysis through classification algorithms is presented.
Root Cause Analysis with Enriched Process Logs
Business Process Management Workshops
Computer Science Engineering