TY - DATA
T1 - Data-driven Process Discovery - Artificial Event Log
PY - 2016/12/08
AU - Felix Mannhardt
UR - https://data.4tu.nl/articles/dataset/Data-driven_Process_Discovery_-_Artificial_Event_Log/12688325/1
DO - 10.4121/uuid:32cad43f-8bb9-46af-8333-48aae2bea037
KW - Data mining
KW - IEEE Task Force on Process Mining
KW - Process mining
KW - Systematic data processing
KW - synthetic event logs
N2 - A synthetic event log with 100,000 traces and 900,000 events that was generated by simulating a simple artificial process model. There are three data attributes in the event log: Priority, Nurse, and Type. Some paths in the model are recorded infrequently based on the value of these attributes. Noise is added by randomly adding one additional event to an increasing number of traces.
CPN Tools (http://cpntools.org) was used to generate the event log and inject the noise.
ER -