Explainable Queries over Event Logs

Abstract

Added value can be extracted from event logs generated by business processes in various ways. However, although complex computations can be performed over event logs, the result of such computations is often difficult to explain; in particular, it is hard to determine what parts of an input log actually matters in the production of that result. This paper describes a framework to provide explainable results for queries executed over sequences of events, where individual output values can be precisely traced back to the data elements of the log that contribute to (i.e. "explain") the result. This framework has been implemented into the BeepBeep event processing engine and empirically evaluated on various queries.