A Python Tool for Object-Centric Process Mining Comparison

TL;DR

This paper introduces a Python-based object-centric process mining tool that enables comparison of process behaviors using a process cube framework, enhancing analysis with visualization, export, and model discovery features.

Contribution

It presents a novel stand-alone tool built on PM4PY-MDL that facilitates process comparison through object-centric process cubes and advanced visualization capabilities.

Findings

Supports visualization of object-centric event logs

Enables process model discovery and comparison

Provides export functionality for further analysis

Abstract

Object-centric process mining provides a more holistic view of processes where we analyze processes with multiple case notions. However, most object-centric process mining techniques consider the whole event log rather than the comparison of existing behaviors in the log. In this paper, we introduce a stand-alone object-centric process cube tool built on the PM4PY-MDL process mining framework. Our infrastructure uses both object and event attributes to build the process cube which leads to different types of materialization. Furthermore, our tool is equipped with the state of the art object-centric process mining techniques. Through our tool the user can visualize the extracted object-centric event log from process cube operations, export the object-centric event log, discover the state-of-the-art object-centric process model for the extracted log, and compare the process models side-by-side.