Explanation of Anomalies in Business Process Event Logs with Linguistic Summaries

Business process event logs consist of the actual process followed by employees of a business by which the event log was generated. Activities in a business process are completed in a non-uniform manner and in settings where fault occurrences are inevitable. Such faults, or deviation from the defined process, can be considered anomalies in the process data. Over the years, several anomaly detection methods have been proposed to detect and filter out such anomalies from an event log. However, little attention has been given to finding out what caused these anomalies and why they were considered anomalies. This paper focuses on this unaddressed topic and proposes a method to provide model-agnostic post-hoc explanations of the detected anomalies by using linguistic summaries.