Reproducibility package for "Discovering Generative Models from Event Logs: Data-driven Simulation vs Deep Learning"

Manuel CamargoMarlon DumasOscar González-Rojas2026-03-222026-03-22202010.5281/zenodo.4264885https://doi.org/10.5281/zenodo.4264885https://andeanlibrary.org/handle/123456789/71168Data and generative models for research article <em>Discovering Generative Models from Event Logs: Data-driven Simulation vs Deep Learning</em>. This record contains the complete and partitioned event logs, deep learning generative models (*.h5 format), simulation models for the BIMP simulator (*.bpmn format), and all the raw and summarized results of the paper. The source code of the project can be found at https://github.com/AdaptiveBProcess/DDSvsDLenComputer scienceGenerative modelEvent (particle physics)ReproducibilityArtificial intelligenceGenerative grammarDeep learningMachine learningData scienceNatural language processingReproducibility package for "Discovering Generative Models from Event Logs: Data-driven Simulation vs Deep Learning"article