Streaming Process Mining: State of the Art and Research Directions

Andrea Burratin,
Associate Professor, DTU

Streaming process mining refers to the set of techniques and tools which have the goal of processing a stream of data (as opposed to a finite event log). The goal of these techniques, similarly to their classical counterparts, is to extract relevant information concerning the processes. This presentation will focus on the state of the art of streaming process mining, both considering control-flow discovery as well as conformance checking, with some emphasis on the ongoing work on the discovery of DCR models.