Business process event log use for activity sequence analysis

Abstract

It is mandatory for nowadays businesses to improve their processes to survive. The basis of this improvement is business process analysis. The analysis can be done in multiple ways but one of the state of the art solutions is Process Mining which uses historical business process execution data in information systems to improve the process analysis. The historical data for analysis comes in a form of event logs. In this paper an approach is presented which processes an event log into frequency matrixes to allow efficient activity sequence analysis. Additionally, some heuristic rules are presented that allow to make inference on causality between activities in a business process.