A Framework for Extracting and Encoding Features from Object-Centric Event Data

1 code implementation • 2 Sep 2022 • Jan Niklas Adams, Gyunam Park, Sergej Levich, Daniel Schuster, Wil M. P. van der Aalst

The flattening process is lossy, leading to inaccurate features extracted from flattened data.

Object

Defining Cases and Variants for Object-Centric Event Data

no code implementations • 5 Aug 2022 • Jan Niklas Adams, Daniel Schuster, Seth Schmitz, Günther Schuh, Wil M. P. van der Aalst

Equivalent process executions with respect to the event's activity are object-centric variants, i. e., a generalization of variants in traditional process mining.

Attribute ERP +1

OPerA: Object-Centric Performance Analysis

no code implementations • 22 Apr 2022 • Gyunam Park, Jan Niklas Adams, Wil. M. P. van der Aalst

Performance analysis in process mining aims to provide insights on the performance of a business process by using a process model as a formal representation of the process.

Object

Precision and Fitness in Object-Centric Process Mining

no code implementations • 6 Oct 2021 • Jan Niklas Adams, Wil M. P. van der Aalst

Our precision and fitness notions are an appropriate way to generalize quality measures to the object-centric setting since we are able to consider multiple case notions, their dependencies and their interactions.

Model Discovery Object

A Framework for Explainable Concept Drift Detection in Process Mining

1 code implementation • 27 May 2021 • Jan Niklas Adams, Sebastiaan J. van Zelst, Lara Quack, Kathrin Hausmann, Wil M. P. van der Aalst, Thomas Rose

We propose a framework that adds an explainability level onto concept drift detection in process mining and provides insights into the cause-effect relationships behind significant changes.