Speaker: prof. dr. Jan Mendling
The plethora of process mining algorithms builds on directly-follows relations. Even though various improvements have been made in the last decade, there are serious weaknesses in these relationships. Once events are associated with different objects that relate with a cardinality of 1:N and N:M to each other, these algorithms produce spurious relations, self-loops, and back-jumps. This is due to the fact that the event sequence as described in classical event logs differs from event causation. This talk addresses the research problem of representing the causal structure of process-related event data and presents an approach for causal process mining.
This talk will take place at Hasselt University in room C104. Alternatively, you can join the seminar online via Google Meet. The link will be shared with you at a later date after registration.
This event has already taken place.