MapReduce Design for Process Discovery using Passages

Abstract

This study proposed a MapReduce design for a passage-based distributed process discovery algorithm, which can discover a process model by analyzing stored event logs depending on the progress of the process. This study can be used for the diagnosis, variation measurement, and improvement of the process by discovering the process model in a smart factory environment with an autonomously changing process.