Learning Joint Event Attribute Distributions for Realistic Event Log Generation
- 27 September 2026
- book chapter
- Published by Springer Nature
- p. 539-556
Abstract
No abstract availableKeywords
This publication has 14 references indexed in Scilit:
- Improving organizational processes in healthcare through simulation-driven resource allocation: Methodology and real-world case studyArtificial Intelligence in Medicine, 2026
- Leveraging Data Augmentation and Siamese Learning for Predictive Process Monitoring2026
- Generating multiperspective process traces using conditional variational autoencodersProcess Science, 2025
- SIMOD: Automated discovery of business process simulation modelsSoftwareX, 2025
- Runtime integration of machine learning and simulation for business processes: Time and decision mining predictionsInformation Systems, 2024
- Can I Trust My Simulation Model? Measuring the Quality of Business Process Simulation Models2023
- Foundations of Process Event Data2022
- Predicting process behaviour using deep learningDecision Support Systems, 2017
- Workflow mining: discovering process models from event logsIEEE Transactions on Knowledge and Data Engineering, 2004
- Isometric Logratio Transformations for Compositional Data AnalysisMathematical Geology, 2003