Generating the Traces You Need: A Conditional Generative Model for Process Mining Data
Fuente:
arXiv
Saved in:
| Main Authors: | Graziosi, Riccardo, Ronzani, Massimiliano, Buliga, Andrei, Di Francescomarino, Chiara, Folino, Francesco, Ghidini, Chiara, Meneghello, Francesca, Pontieri, Luigi |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Recommending the optimal policy by learning to act from temporal data
by: Branchi, Stefano, et al.
Published: (2023)
by: Branchi, Stefano, et al.
Published: (2023)
Generating Counterfactual Explanations Under Temporal Constraints
by: Buliga, Andrei, et al.
Published: (2025)
by: Buliga, Andrei, et al.
Published: (2025)
Guiding the generation of counterfactual explanations through temporal background knowledge for Predictive Process Monitoring
by: Buliga, Andrei, et al.
Published: (2024)
by: Buliga, Andrei, et al.
Published: (2024)
T-ILR: a Neurosymbolic Integration for LTLf
by: Andreoni, Riccardo, et al.
Published: (2025)
by: Andreoni, Riccardo, et al.
Published: (2025)
Learning to act: a Reinforcement Learning approach to recommend the best next activities
by: Branchi, Stefano, et al.
Published: (2022)
by: Branchi, Stefano, et al.
Published: (2022)
What is a Process Model Composed of? A Systematic Literature Review of Meta-Models in BPM
by: Adamo, Greta, et al.
Published: (2020)
by: Adamo, Greta, et al.
Published: (2020)
Graph-based Event Log Repair
by: Dissegna, Sebastiano, et al.
Published: (2025)
by: Dissegna, Sebastiano, et al.
Published: (2025)
Robust solutions via optimisation and predictive process monitoring for the scheduling of the interventional radiology procedures
by: Matteo Di Cunzolo, et al.
Published: (2024)
by: Matteo Di Cunzolo, et al.
Published: (2024)
Predictive Monitoring of Business Processes
by: Maggi, Fabrizio Maria, et al.
Published: (2013)
by: Maggi, Fabrizio Maria, et al.
Published: (2013)
Solving reachability problems on data-aware workflows
by: De Masellis, Riccardo, et al.
Published: (2019)
by: De Masellis, Riccardo, et al.
Published: (2019)
Predictive Process Monitoring Methods: Which One Suits Me Best?
by: Di Francescomarino, Chiara, et al.
Published: (2018)
by: Di Francescomarino, Chiara, et al.
Published: (2018)
Learning Hybrid Process Models From Events: Process Discovery Without Faking Confidence
by: van der Aalst, Wil M. P., et al.
Published: (2017)
by: van der Aalst, Wil M. P., et al.
Published: (2017)
Discussion: Effective and Interpretable Outcome Prediction by Training Sparse Mixtures of Linear Experts
by: Folino, Francesco, et al.
Published: (2024)
by: Folino, Francesco, et al.
Published: (2024)
Computing unsatisfiable cores for LTLf specifications
by: Roveri, Marco, et al.
Published: (2022)
by: Roveri, Marco, et al.
Published: (2022)
IBM Multilevel Process Mining vs de facto Object-Centric Process Mining approaches
by: Ronzoni, Alberto, et al.
Published: (2025)
by: Ronzoni, Alberto, et al.
Published: (2025)
Explainable Predictive Process Monitoring: A User Evaluation
by: Rizzi, Williams, et al.
Published: (2022)
by: Rizzi, Williams, et al.
Published: (2022)
Efficient Data Ingestion in Cloud-based architecture: a Data Engineering Design Pattern Proposal
by: Rucco, Chiara, et al.
Published: (2025)
by: Rucco, Chiara, et al.
Published: (2025)
Abducing Compliance of Incomplete Event Logs
by: Chesani, Federico, et al.
Published: (2016)
by: Chesani, Federico, et al.
Published: (2016)
A Functional Data Model and Query Language is All You Need
by: Dittrich, Jens
Published: (2025)
by: Dittrich, Jens
Published: (2025)
Skill Learning Using Process Mining for Large Language Model Plan Generation
by: Redis, Andrei Cosmin, et al.
Published: (2024)
by: Redis, Andrei Cosmin, et al.
Published: (2024)
Dynamic and Scalable Data Preparation for Object-Centric Process Mining
by: Bosmans, Lien, et al.
Published: (2024)
by: Bosmans, Lien, et al.
Published: (2024)
Formalizing ETLT and ELTL Design Patterns and Proposing Enhanced Variants: A Systematic Framework for Modern Data Engineering
by: Rucco, Chiara, et al.
Published: (2025)
by: Rucco, Chiara, et al.
Published: (2025)
Advancing Object-Centric Process Mining with Multi-Dimensional Data Operations
by: Khayatbashi, Shahrzad, et al.
Published: (2024)
by: Khayatbashi, Shahrzad, et al.
Published: (2024)
Is Integer Linear Programming All You Need for Deletion Propagation? A Unified and Practical Approach for Generalized Deletion Propagation
by: Makhija, Neha, et al.
Published: (2024)
by: Makhija, Neha, et al.
Published: (2024)
Process discovery on deviant traces and other stranger things
by: Chesani, Federico, et al.
Published: (2021)
by: Chesani, Federico, et al.
Published: (2021)
AVOCADO: The Streaming Process Mining Challenge
by: Imenkamp, Christian, et al.
Published: (2025)
by: Imenkamp, Christian, et al.
Published: (2025)
Chapter Kannon alla julienne e Fudō Myōō in salamoia. Parodie buddhiste commestibili nella Edo del tardo XVIII secolo
by: Ghidini, Chiara
Published: (2024)
by: Ghidini, Chiara
Published: (2024)
Applying Process Mining on Scientific Workflows: a Case Study on High Performance Computing Data
by: Sadeghibogar, Zahra, et al.
Published: (2023)
by: Sadeghibogar, Zahra, et al.
Published: (2023)
Integrating Wearable Data into Process Mining: Event, Case and Activity Enrichment
by: Dani, Vinicius Stein, et al.
Published: (2025)
by: Dani, Vinicius Stein, et al.
Published: (2025)
Process Mining on Distributed Data Sources
by: Weisenseel, Maximilian, et al.
Published: (2025)
by: Weisenseel, Maximilian, et al.
Published: (2025)
EdgeMiner: Distributed Process Mining at the Data Sources
by: Andersen, Julia, et al.
Published: (2024)
by: Andersen, Julia, et al.
Published: (2024)
Process Mining for Unstructured Data: Challenges and Research Directions
by: Koschmider, Agnes, et al.
Published: (2023)
by: Koschmider, Agnes, et al.
Published: (2023)
MINE GRAPH RULE: A New Cypher-like Operator for Mining Association Rules on Property Graphs
by: Cambria, Francesco, et al.
Published: (2024)
by: Cambria, Francesco, et al.
Published: (2024)
A Ground Truth Approach for Assessing Process Mining Techniques
by: Sommers, Dominique, et al.
Published: (2025)
by: Sommers, Dominique, et al.
Published: (2025)
Utility-based Privacy Preserving Data Mining
by: Zhou, Qingfeng, et al.
Published: (2025)
by: Zhou, Qingfeng, et al.
Published: (2025)
OCPM$^2$: Extending the Process Mining Methodology for Object-Centric Event Data Extraction
by: Miri, Najmeh, et al.
Published: (2025)
by: Miri, Najmeh, et al.
Published: (2025)
An Experimental Comparison of Alternative Techniques for Event-Log Augmentation
by: Padella, Alessandro, et al.
Published: (2025)
by: Padella, Alessandro, et al.
Published: (2025)
Extended Event Log: Towards a Unified Standard for Process Mining
by: Suleiman, Ali, et al.
Published: (2024)
by: Suleiman, Ali, et al.
Published: (2024)
Hierarchical Conditional Tabular GAN for Multi-Tabular Synthetic Data Generation
by: Ågren, Wilhelm, et al.
Published: (2024)
by: Ågren, Wilhelm, et al.
Published: (2024)
Evaluating Large Language Models in Process Mining: Capabilities, Benchmarks, and Evaluation Strategies
by: Berti, Alessandro, et al.
Published: (2024)
by: Berti, Alessandro, et al.
Published: (2024)
Similar Items
-
Recommending the optimal policy by learning to act from temporal data
by: Branchi, Stefano, et al.
Published: (2023) -
Generating Counterfactual Explanations Under Temporal Constraints
by: Buliga, Andrei, et al.
Published: (2025) -
Guiding the generation of counterfactual explanations through temporal background knowledge for Predictive Process Monitoring
by: Buliga, Andrei, et al.
Published: (2024) -
T-ILR: a Neurosymbolic Integration for LTLf
by: Andreoni, Riccardo, et al.
Published: (2025) -
Learning to act: a Reinforcement Learning approach to recommend the best next activities
by: Branchi, Stefano, et al.
Published: (2022)