Daniel Schuster

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 18

Top Topics

Unordered Trees

Top Venues

BPMDS/EMMSAD@CAiSE

Publications

Alessandro Berti, Humam Kourani, Hannes Häfke, Chiao-Yun Li, Daniel Schuster
Evaluating Large Language Models in Process Mining: Capabilities, Benchmarks, and Evaluation Strategies. BPMDS/EMMSAD@CAiSE (2024)
Humam Kourani, Alessandro Berti, Daniel Schuster, Wil M. P. van der Aalst
Process Modeling with Large Language Models. BPMDS/EMMSAD@CAiSE (2024)
Daniel Schuster, Elisabetta Benevento, Davide Aloini, Wil M. P. van der Aalst
Analyzing Healthcare Processes with Incremental Process Discovery: Practical Insights from a Real-World Application. J. Heal. Informatics Res. 8 (3) (2024)
Humam Kourani, Alessandro Berti, Daniel Schuster, Wil M. P. van der Aalst
Process Modeling With Large Language Models. CoRR (2024)
Alessandro Berti, Humam Kourani, Hannes Häfke, Chiao-Yun Li, Daniel Schuster
Evaluating Large Language Models in Process Mining: Capabilities, Benchmarks, Evaluation Strategies, and Future Challenges. CoRR (2024)
Daniel Schuster, Francesca Zerbato, Sebastiaan J. van Zelst, Wil M. P. van der Aalst
Defining and visualizing process execution variants from partially ordered event data. Inf. Sci. 657 (2024)
Humam Kourani, Alessandro Berti, Daniel Schuster, Wil M. P. van der Aalst
ProMoAI: Process Modeling with Generative AI. CoRR (2024)
Alessandro Berti, Daniel Schuster, Wil M. P. van der Aalst
Abstractions, Scenarios, and Prompt Definitions for Process Mining with LLMs: A Case Study. CoRR (2023)
Daniel Schuster, Niklas Föcking, Sebastiaan J. van Zelst, Wil M. P. van der Aalst
Incremental Discovery of Process Models Using Trace Fragments. BPM (2023)
Michael Martini, Daniel Schuster, Wil M. P. van der Aalst
Mining Frequent Infix Patterns from Concurrency-Aware Process Execution Variants. Proc. VLDB Endow. 16 (10) (2023)
Gyunam Park, Daniel Schuster, Wil M. P. van der Aalst
Pattern-based action engine: Generating process management actions using temporal patterns of process-centric problems. Comput. Ind. 153 (2023)
Daniel Schuster, Sebastiaan J. van Zelst, Wil M. P. van der Aalst
Cortado: A dedicated process mining tool for interactive process discovery. SoftwareX 22 (2023)
Alessandro Berti, Sebastiaan J. van Zelst, Daniel Schuster
PM4Py: A process mining library for Python. Softw. Impacts 17 (2023)
Alessandro Berti, Daniel Schuster, Wil M. P. van der Aalst
Abstractions, Scenarios, and Prompt Definitions for Process Mining with LLMs: A Case Study. Business Process Management Workshops (2023)
Humam Kourani, Daniel Schuster, Wil M. P. van der Aalst
Scalable Discovery of Partially Ordered Workflow Models with Formal Guarantees. ICPM (2023)
Daniel Schuster, Michael Martini, Sebastiaan J. van Zelst, Wil M. P. van der Aalst
Control-Flow-Based Querying of Process Executions from Partially Ordered Event Data. ICSOC (2022)
Jan Niklas Adams, Daniel Schuster, Seth Schmitz, Günther Schuh, Wil M. P. van der Aalst
Defining Cases and Variants for Object-Centric Event Data. ICPM (2022)
Jan Niklas Adams, Gyunam Park, Sergej Levich, Daniel Schuster, Wil M. P. van der Aalst
A Framework for Extracting and Encoding Features from Object-Centric Event Data. ICSOC (2022)