Although most business processes change over time, contemporary process mining
techniques tend to analyze these processes as if they are in a steady state. Processes may
change suddenly or gradually. The drift may be periodic (eg, because of seasonal
influences) or one-of-a-kind (eg, the effects of new legislation). For the process
management, it is crucial to discover and understand such concept drifts in processes. This
paper presents a generic framework and specific techniques to detect when a process …

Although most business processes change over time, contemporary process mining
techniques tend to analyze these processes as if they are in steady-state. Processes may
change suddenly or gradually. The drift may be periodic (eg due to seasonal influences) or
one-of-akind (eg, the effects of new legislation). For process management it is crucial to
discover and understand such concept drifts in processes. In this paper, we present a case
study of analyzing concept drifts in three different processes within a large Dutch …