Discovery of process models from event logs based on the Heuristics Miner algorithm integrated into the bupaR framework.

Installation

You can install the development version of heuristicsmineR with:

remotes::install_github("fmannhardt/heuristicsmineR")

Example

This is a basic usage example discovering the Causal net of the patients event log:

This discovers the Causal net of the built-in L_heur_1 event log that was proposed in the Process Mining book:

The Causal net can be converted to a Petri net (note that there are some uneccesary invisible transition that are not yet removed):

The Petri net can be further used, for example for conformance checking through the pm4py package (Note that the final marking is currently not saved in petrinetR):