Daniel Schuster

53 papers A* 1A 5B 8Journal 28Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	KAVA-PM: Knowledge-assisted visual process mining. Inf. Syst. Daniel Schuster, Wolfgang Aigner, Chiara Di Francescomarino, Cagatay Turkay, Francesca Zerbato
2026	J	`jnl`	Leveraging large language models for enhanced process model comprehension. Decis. Support Syst. Humam Kourani, Alessandro Berti, Jasmin Hennrich, Wolfgang Kratsch, Robin Weidlich, Chiao-Yun Li, Ahmad Arslan, Wil M. P. van der Aalst, Daniel Schuster
2026	J	`jnl`	Visualizing repetition in process execution variants from partially ordered event data. Inf. Syst. Ariba Siddiqui, Francesca Zerbato, Daniel Schuster
2025	B	`conf`	Computing Alignments for Partially-Ordered Traces Through Petri Net Unfoldings. Petri Nets Ariba Siddiqui, Wil M. P. van der Aalst, Daniel Schuster
2025	J	`jnl`	Computing Alignments for Partially-ordered Traces Through Petri Net Unfoldings. CoRR Ariba Siddiqui, Wil M. P. van der Aalst, Daniel Schuster
2025	J	`jnl`	Discovering partially ordered workflow models. Inf. Syst. Humam Kourani, Sebastiaan J. van Zelst, Daniel Schuster, Wil M. P. van der Aalst
2025	—	`conf`	GOProQ: A Graphical Query Language for Object-Centric Process Analysis. ICSOC (2) Gyunam Park, Jan Niklas Adams, Daniel Schuster
2025	—	`book`	Incremental Process Discovery Daniel Schuster
2024	J	`jnl`	Analyzing Healthcare Processes with Incremental Process Discovery: Practical Insights from a Real-World Application. J. Heal. Informatics Res. Daniel Schuster, Elisabetta Benevento, Davide Aloini, Wil M. P. van der Aalst
2024	J	`jnl`	Defining and visualizing process execution variants from partially ordered event data. Inf. Sci. Daniel Schuster, Francesca Zerbato, Sebastiaan J. van Zelst, Wil M. P. van der Aalst
2024	J	`jnl`	Evaluating Large Language Models in Process Mining: Capabilities, Benchmarks, Evaluation Strategies, and Future Challenges. CoRR Alessandro Berti, Humam Kourani, Hannes Häfke, Chiao-Yun Li, Daniel Schuster
2024	—	`conf`	Evaluating Large Language Models in Process Mining: Capabilities, Benchmarks, and Evaluation Strategies. BPMDS/EMMSAD@CAiSE Alessandro Berti, Humam Kourani, Hannes Häfke, Chiao-Yun Li, Daniel Schuster
2024	J	`jnl`	Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis. CoRR Humam Kourani, Alessandro Berti, Daniel Schuster, Wil M. P. van der Aalst
2024	—	`—`	Incremental process discovery. Daniel Schuster
2024	J	`jnl`	Leveraging Large Language Models for Enhanced Process Model Comprehension. CoRR Humam Kourani, Alessandro Berti, Jasmin Henrich, Wolfgang Kratsch, Robin Weidlich, Chiao-Yun Li, Ahmad Arslan, Daniel Schuster, Wil M. P. van der Aalst
2024	A*	`conf`	ProMoAI: Process Modeling with Generative AI. IJCAI Humam Kourani, Alessandro Berti, Daniel Schuster, Wil M. P. van der Aalst
2024	J	`jnl`	ProMoAI: Process Modeling with Generative AI. CoRR Humam Kourani, Alessandro Berti, Daniel Schuster, Wil M. P. van der Aalst
2024	J	`jnl`	Process Modeling With Large Language Models. CoRR Humam Kourani, Alessandro Berti, Daniel Schuster, Wil M. P. van der Aalst
2024	—	`conf`	Process Modeling with Large Language Models. BPMDS/EMMSAD@CAiSE Humam Kourani, Alessandro Berti, Daniel Schuster, Wil M. P. van der Aalst
2023	—	`conf`	Abstractions, Scenarios, and Prompt Definitions for Process Mining with LLMs: A Case Study. Business Process Management Workshops Alessandro Berti, Daniel Schuster, Wil M. P. van der Aalst
2023	J	`jnl`	Abstractions, Scenarios, and Prompt Definitions for Process Mining with LLMs: A Case Study. CoRR Alessandro Berti, Daniel Schuster, Wil M. P. van der Aalst
2023	J	`jnl`	Cortado: A dedicated process mining tool for interactive process discovery. SoftwareX Daniel Schuster, Sebastiaan J. van Zelst, Wil M. P. van der Aalst
2023	A	`conf`	Incremental Discovery of Process Models Using Trace Fragments. BPM Daniel Schuster, Niklas Föcking, Sebastiaan J. van Zelst, Wil M. P. van der Aalst
2023	J	`jnl`	Mining Frequent Infix Patterns from Concurrency-Aware Process Execution Variants. Proc. VLDB Endow. Michael Martini, Daniel Schuster, Wil M. P. van der Aalst
2023	J	`jnl`	PM4Py: A process mining library for Python. Softw. Impacts Alessandro Berti, Sebastiaan J. van Zelst, Daniel Schuster
2023	J	`jnl`	Pattern-based action engine: Generating process management actions using temporal patterns of process-centric problems. Comput. Ind. Gyunam Park, Daniel Schuster, Wil M. P. van der Aalst
2023	B	`conf`	Scalable Discovery of Partially Ordered Workflow Models with Formal Guarantees. ICPM Humam Kourani, Daniel Schuster, Wil M. P. van der Aalst
2022	A	`conf`	A Framework for Extracting and Encoding Features from Object-Centric Event Data. ICSOC Jan Niklas Adams, Gyunam Park, Sergej Levich, Daniel Schuster, Wil M. P. van der Aalst
2022	J	`jnl`	A Framework for Extracting and Encoding Features from Object-Centric Event Data. CoRR Jan Niklas Adams, Gyunam Park, Sergej Levich, Daniel Schuster, Wil M. P. van der Aalst
2022	B	`conf`	A Generic Trace Ordering Framework for Incremental Process Discovery. IDA Daniel Schuster, Emanuel Domnitsch, Sebastiaan J. van Zelst, Wil M. P. van der Aalst
2022	B	`conf`	Conformance Checking for Trace Fragments Using Infix and Postfix Alignments. CoopIS Daniel Schuster, Niklas Föcking, Sebastiaan J. van Zelst, Wil M. P. van der Aalst
2022	J	`jnl`	Conformance Checking for Trace Fragments Using Infix and Postfix Alignments. CoRR Daniel Schuster, Niklas Föcking, Sebastiaan J. van Zelst, Wil M. P. van der Aalst
2022	A	`conf`	Control-Flow-Based Querying of Process Executions from Partially Ordered Event Data. ICSOC Daniel Schuster, Michael Martini, Sebastiaan J. van Zelst, Wil M. P. van der Aalst
2022	J	`jnl`	Control-Flow-Based Querying of Process Executions from Partially Ordered Event Data. CoRR Daniel Schuster, Michael Martini, Sebastiaan J. van Zelst, Wil M. P. van der Aalst
2022	B	`conf`	Defining Cases and Variants for Object-Centric Event Data. ICPM Jan Niklas Adams, Daniel Schuster, Seth Schmitz, Günther Schuh, Wil M. P. van der Aalst
2022	J	`jnl`	Defining Cases and Variants for Object-Centric Event Data. CoRR Jan Niklas Adams, Daniel Schuster, Seth Schmitz, Günther Schuh, Wil M. P. van der Aalst
2022	B	`conf`	Enhanced Transformation of BPMN Models with Cancellation Features. EDOC Giorgi Lomidze, Daniel Schuster, Chiao-Yun Li, Sebastiaan J. van Zelst
2022	—	`conf`	Temporal Performance Analysis for Block-Structured Process Models in Cortado. CAiSE Forum Daniel Schuster, Lukas Schade, Sebastiaan J. van Zelst, Wil M. P. van der Aalst
2022	J	`jnl`	Utilizing domain knowledge in data-driven process discovery: A literature review. Comput. Ind. Daniel Schuster, Sebastiaan J. van Zelst, Wil M. P. van der Aalst
2021	B	`conf`	Cortado - An Interactive Tool for Data-Driven Process Discovery and Modeling. Petri Nets Daniel Schuster, Sebastiaan J. van Zelst, Wil M. P. van der Aalst
2021	J	`jnl`	Cortado - An Interactive Tool for Data-Driven Process Discovery and Modeling. CoRR Daniel Schuster, Sebastiaan J. van Zelst, Wil M. P. van der Aalst
2021	J	`jnl`	Freezing Sub-Models During Incremental Process Discovery: Extended Version. CoRR Daniel Schuster, Sebastiaan J. van Zelst, Wil M. P. van der Aalst
2021	A	`conf`	Freezing Sub-models During Incremental Process Discovery. ER Daniel Schuster, Sebastiaan J. van Zelst, Wil M. P. van der Aalst
2021	J	`jnl`	Scalable Online Conformance Checking Using Incremental Prefix-Alignment Computation. CoRR Daniel Schuster, Gero J. Kolhof
2021	—	`conf`	Supporting Users in the Continuous Evolution of Automated Routines in Their Smart Spaces. Business Process Management Workshops Estefanía Serral, Daniel Schuster, Yannis Bertrand
2021	J	`jnl`	Visualizing Trace Variants From Partially Ordered Event Data. CoRR Daniel Schuster, Lukas Schade, Sebastiaan J. van Zelst, Wil M. P. van der Aalst
2021	—	`conf`	Visualizing Trace Variants from Partially Ordered Event Data. ICPM Workshops Daniel Schuster, Lukas Schade, Sebastiaan J. van Zelst, Wil M. P. van der Aalst
2020	—	`conf`	Alignment Approximation for Process Trees. ICPM Workshops Daniel Schuster, Sebastiaan J. van Zelst, Wil M. P. van der Aalst
2020	J	`jnl`	Alignment Approximation for Process Trees. CoRR Daniel Schuster, Sebastiaan J. van Zelst, Wil M. P. van der Aalst
2020	B	`conf`	Incremental Discovery of Hierarchical Process Models. RCIS Daniel Schuster, Sebastiaan J. van Zelst, Wil M. P. van der Aalst
2020	A	`conf`	Online Process Monitoring Using Incremental State-Space Expansion: An Exact Algorithm. BPM Daniel Schuster, Sebastiaan J. van Zelst
2020	J	`jnl`	Online Process Monitoring Using Incremental State-Space Expansion: An Exact Algorithm. CoRR Daniel Schuster, Sebastiaan J. van Zelst
2020	—	`conf`	Scalable Online Conformance Checking Using Incremental Prefix-Alignment Computation. ICSOC Workshops Daniel Schuster, Gero Joss Kolhof