Data Improvement to Enable Process Mining on Integrated Non-log Data Sources

摘要

Process models derived using Process Mining (PM) are often very complex due to Data Quality Issues (DQIs). Some of those DQIs arise from integration of different data sources or the transformation of non-process oriented data, hence are structural and can be abstracted from the domain. Activity Sequencing and Activity Hierarchy are two concepts for improving certain DQIs in order to improve PM outcomes. The approaches are evaluated by showing the improvement of derived process models using a simplified real world scenario with simulated data.