124 citations
- Daniel Schuster2 profiles10 · h 16
- Martin Henze2 profiles8 · h 30
- S. V. Zelst8 · h 18
- Wil M.P. van der Aalst8 · h 159
- Alexander Boden3 profiles6 · h 7
- Md Shajalal2 profiles6 · h 9
- Humam Kourani5 · h 8
- I. Hacker5 · h 8
- Andreas Ulbig2 profiles4 · h 23
- Johannes Sedlmeir3 profiles4 · h 11
- Ömer Sen4 · h 8
- D. Velde3 · h 8
- RWTH Aachen UniversityDE38 papers
- University of BayreuthDE10 papers
- Fraunhofer Institute for Communication, Information Processing and ErgonomicsDE8 papers
- University of SiegenDE5 papers
- Hochschule Bonn-Rhein-SiegDE4 papers
- University of LuxembourgLU3 papers
- Eindhoven University of TechnologyNL2 papers
- Fraunhofer-GesellschaftDE2 papers
- Fraunhofer Institute for Production Technology IPTDE2 papers
- Goethe University FrankfurtDE2 papers
- Koblenz University of Applied SciencesDE2 papers
- KU LeuvenBE2 papers
9 papers · 1 filter
mobilityDCAT-AP: a Metadata Specification for Enhanced Cross-border Mobility Data Sharing
Mario Scrocca, Lina Molinas Comet, Benjamin Witsch +4
Integrated and efficient mobility requires data sharing among the involved stakeholders. In this direction, regulators and transport authorities have been defining policies to fost…
ProMoAI: Process Modeling with Generative AI
Humam Kourani, Alessandro Berti, Daniel Schuster +1
ProMoAI is a novel tool that leverages Large Language Models (LLMs) to automatically generate process models from textual descriptions, incorporating advanced prompt engineering, e…
Evaluating Large Language Models in Process Mining: Capabilities, Benchmarks, and Evaluation Strategies
Alessandro Berti, Humam Kourani, Hannes Hafke +2
Using Large Language Models (LLMs) for Process Mining (PM) tasks is becoming increasingly essential, and initial approaches yield promising results. However, little attention has b…
Control-Flow-Based Querying of Process Executions from Partially Ordered Event Data
Daniel Schuster, Michael Martini, Sebastiaan J. van Zelst +1
Event logs, as viewed in process mining, contain event data describing the execution of operational processes. Most process mining techniques take an event log as input and generat…
Visualizing Trace Variants From Partially Ordered Event Data
Daniel Schuster, Lukas Schade, Sebastiaan J. van Zelst +1
Executing operational processes generates event data, which contain information on the executed process activities. Process mining techniques allow to systematically analyze event…
Data Lakes: A Survey of Functions and Systems
Rihan Hai, Christos Koutras, Christoph Quix +1
Data lakes are becoming increasingly prevalent for big data management and data analytics. In contrast to traditional 'schema-on-write' approaches such as data warehouses, data lak…