Daniel Schuster

According to our database, Daniel Schuster authored at least 28 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Defining and visualizing process execution variants from partially ordered event data.

Daniel Schuster, Francesca Zerbato, Sebastiaan J. van Zelst, Wil M. P. van der Aalst

Inf. Sci., February, 2024

Process Modeling With Large Language Models.

Humam Kourani, Alessandro Berti, Daniel Schuster, Wil M. P. van der Aalst

CoRR, 2024

Evaluating Large Language Models in Process Mining: Capabilities, Benchmarks, Evaluation Strategies, and Future Challenges.

Alessandro Berti, Humam Kourani, Hannes Hafke, Chiao-Yun Li, Daniel Schuster

CoRR, 2024

ProMoAI: Process Modeling with Generative AI.

Humam Kourani, Alessandro Berti, Daniel Schuster, Wil M. P. van der Aalst

CoRR, 2024

2023

Pattern-based action engine: Generating process management actions using temporal patterns of process-centric problems.

Gyunam Park, Daniel Schuster, Wil M. P. van der Aalst

Comput. Ind., December, 2023

PM4Py: A process mining library for Python.

Alessandro Berti, Sebastiaan J. van Zelst, Daniel Schuster

Softw. Impacts, September, 2023

Cortado: A dedicated process mining tool for interactive process discovery.

Daniel Schuster, Sebastiaan J. van Zelst, Wil M. P. van der Aalst

SoftwareX, May, 2023

Mining Frequent Infix Patterns from Concurrency-Aware Process Execution Variants.

Michael Martini, Daniel Schuster, Wil M. P. van der Aalst

Proc. VLDB Endow., 2023

Scalable Discovery of Partially Ordered Workflow Models with Formal Guarantees.

Humam Kourani, Daniel Schuster, Wil M. P. van der Aalst

Proceedings of the 5th International Conference on Process Mining, 2023

Incremental Discovery of Process Models Using Trace Fragments.

Daniel Schuster, Niklas Föcking, Sebastiaan J. van Zelst, Wil M. P. van der Aalst

Proceedings of the Business Process Management - 21st International Conference, 2023

Abstractions, Scenarios, and Prompt Definitions for Process Mining with LLMs: A Case Study.

Alessandro Berti, Daniel Schuster, Wil M. P. van der Aalst

Proceedings of the Business Process Management Workshops, 2023

2022

Utilizing domain knowledge in data-driven process discovery: A literature review.

Daniel Schuster, Sebastiaan J. van Zelst, Wil M. P. van der Aalst

Comput. Ind., 2022

A Generic Trace Ordering Framework for Incremental Process Discovery.

Daniel Schuster, Emanuel Domnitsch, Sebastiaan J. van Zelst, Wil M. P. van der Aalst

Proceedings of the Advances in Intelligent Data Analysis XX, 2022

Control-Flow-Based Querying of Process Executions from Partially Ordered Event Data.

Daniel Schuster, Michael Martini, Sebastiaan J. van Zelst, Wil M. P. van der Aalst

Proceedings of the Service-Oriented Computing - 20th International Conference, 2022

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

Jan Niklas Adams, Gyunam Park, Sergej Levich, Daniel Schuster, Wil M. P. van der Aalst

Proceedings of the Service-Oriented Computing - 20th International Conference, 2022

Defining Cases and Variants for Object-Centric Event Data.

Jan Niklas Adams, Daniel Schuster, Seth Schmitz, Günther Schuh, Wil M. P. van der Aalst

Proceedings of the 4th International Conference on Process Mining, 2022

Enhanced Transformation of BPMN Models with Cancellation Features.

Giorgi Lomidze, Daniel Schuster, Chiao-Yun Li, Sebastiaan J. van Zelst

Proceedings of the Enterprise Design, Operations, and Computing, 2022

Conformance Checking for Trace Fragments Using Infix and Postfix Alignments.

Daniel Schuster, Niklas Föcking, Sebastiaan J. van Zelst, Wil M. P. van der Aalst

Proceedings of the Cooperative Information Systems - 28th International Conference, 2022

Temporal Performance Analysis for Block-Structured Process Models in Cortado.

Daniel Schuster, Lukas Schade, Sebastiaan J. van Zelst, Wil M. P. van der Aalst

Proceedings of the Intelligent Information Systems, 2022

2021

Freezing Sub-Models During Incremental Process Discovery: Extended Version.

Daniel Schuster, Sebastiaan J. van Zelst, Wil M. P. van der Aalst

CoRR, 2021

Visualizing Trace Variants from Partially Ordered Event Data.

Daniel Schuster, Lukas Schade, Sebastiaan J. van Zelst, Wil M. P. van der Aalst

Proceedings of the Process Mining Workshops - ICPM 2021 International Workshops, Eindhoven, The Netherlands, October 31, 2021

Freezing Sub-models During Incremental Process Discovery.

Daniel Schuster, Sebastiaan J. van Zelst, Wil M. P. van der Aalst

Proceedings of the Conceptual Modeling - 40th International Conference, 2021

Supporting Users in the Continuous Evolution of Automated Routines in Their Smart Spaces.

Estefanía Serral, Daniel Schuster, Yannis Bertrand

Proceedings of the Business Process Management Workshops, 2021

Cortado - An Interactive Tool for Data-Driven Process Discovery and Modeling.

Daniel Schuster, Sebastiaan J. van Zelst, Wil M. P. van der Aalst

Proceedings of the Application and Theory of Petri Nets and Concurrency, 2021

2020

Incremental Discovery of Hierarchical Process Models.

Daniel Schuster, Sebastiaan J. van Zelst, Wil M. P. van der Aalst

Proceedings of the Research Challenges in Information Science, 2020

Scalable Online Conformance Checking Using Incremental Prefix-Alignment Computation.

Daniel Schuster, Gero Joss Kolhof

Proceedings of the Service-Oriented Computing - ICSOC 2020 Workshops, 2020

Alignment Approximation for Process Trees.

Daniel Schuster, Sebastiaan J. van Zelst, Wil M. P. van der Aalst

Proceedings of the Process Mining Workshops, 2020

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

Daniel Schuster, Sebastiaan J. van Zelst

Proceedings of the Business Process Management - 18th International Conference, 2020