ProMoAI: Process Modeling with Generative AI

no code implementations • 7 Mar 2024 • Humam Kourani, Alessandro Berti, Daniel Schuster, Wil M. P. van der Aalst

ProMoAI is a novel tool that leverages Large Language Models (LLMs) to automatically generate process models from textual descriptions, incorporating advanced prompt engineering, error handling, and code generation techniques.

Code Generation Model Optimization +1

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

Freezing Sub-Models During Incremental Process Discovery: Extended Version

no code implementations • 31 Jul 2021 • Daniel Schuster, Sebastiaan J. van Zelst, Wil M. P. van der Aalst

Previously, an incremental discovery approach has been introduced where a model, considered to be under construction, gets incrementally extended by user-selected process behavior.

Online Process Monitoring Using Incremental State-Space Expansion: An Exact Algorithm

1 code implementation • 14 Feb 2020 • Daniel Schuster, Sebastiaan J. van Zelst

The execution of (business) processes generates valuable traces of event data in the information systems employed within companies.

Databases