# Guided Interaction Exploration in Artifact-centric Process Models

## TL;DR

This paper introduces an interactive tool for discovering and visualizing interactions in artifact-centric process models, enhancing understanding of complex processes through correlation analysis.

## Contribution

It presents a novel ProM plug-in that automatically discovers composite state machines and visualizes artifact interactions from event data.

## Key findings

- Successfully applied to real-life financial data sets
- Highlights strongly correlated behaviors among artifacts
- Provides an interactive exploration environment

## Abstract

Artifact-centric process models aim to describe complex processes as a collection of interacting artifacts. Recent development in process mining allow for the discovery of such models. However, the focus is often on the representation of the individual artifacts rather than their interactions. Based on event data we can automatically discover composite state machines representing artifact-centric processes. Moreover, we provide ways of visualizing and quantifying interactions among different artifacts. For example, we are able to highlight strongly correlated behaviours in different artifacts. The approach has been fully implemented as a ProM plug-in; the CSM Miner provides an interactive artifact-centric process discovery tool focussing on interactions. The approach has been evaluated using real life data sets, including the personal loan and overdraft process of a Dutch financial institution.