Predictive Process Monitoring Methods: Which One Suits Me Best?
Fuente:
arXiv
Guardado en:
| Autores principales: | Di Francescomarino, Chiara, Ghidini, Chiara, Maggi, Fabrizio Maria, Milani, Fredrik |
|---|---|
| Formato: | Preprint |
| Publicado: |
2018
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Guiding the generation of counterfactual explanations through temporal background knowledge for Predictive Process Monitoring
por: Buliga, Andrei, et al.
Publicado: (2024)
por: Buliga, Andrei, et al.
Publicado: (2024)
Explainable Predictive Process Monitoring: A User Evaluation
por: Rizzi, Williams, et al.
Publicado: (2022)
por: Rizzi, Williams, et al.
Publicado: (2022)
Predictive Monitoring of Business Processes
por: Maggi, Fabrizio Maria, et al.
Publicado: (2013)
por: Maggi, Fabrizio Maria, et al.
Publicado: (2013)
Computing unsatisfiable cores for LTLf specifications
por: Roveri, Marco, et al.
Publicado: (2022)
por: Roveri, Marco, et al.
Publicado: (2022)
Generating Counterfactual Explanations Under Temporal Constraints
por: Buliga, Andrei, et al.
Publicado: (2025)
por: Buliga, Andrei, et al.
Publicado: (2025)
Solving reachability problems on data-aware workflows
por: De Masellis, Riccardo, et al.
Publicado: (2019)
por: De Masellis, Riccardo, et al.
Publicado: (2019)
Recommending the optimal policy by learning to act from temporal data
por: Branchi, Stefano, et al.
Publicado: (2023)
por: Branchi, Stefano, et al.
Publicado: (2023)
Learning to act: a Reinforcement Learning approach to recommend the best next activities
por: Branchi, Stefano, et al.
Publicado: (2022)
por: Branchi, Stefano, et al.
Publicado: (2022)
Generating the Traces You Need: A Conditional Generative Model for Process Mining Data
por: Graziosi, Riccardo, et al.
Publicado: (2024)
por: Graziosi, Riccardo, et al.
Publicado: (2024)
What is a Process Model Composed of? A Systematic Literature Review of Meta-Models in BPM
por: Adamo, Greta, et al.
Publicado: (2020)
por: Adamo, Greta, et al.
Publicado: (2020)
Abducing Compliance of Incomplete Event Logs
por: Chesani, Federico, et al.
Publicado: (2016)
por: Chesani, Federico, et al.
Publicado: (2016)
Graph-based Event Log Repair
por: Dissegna, Sebastiano, et al.
Publicado: (2025)
por: Dissegna, Sebastiano, et al.
Publicado: (2025)
Process discovery on deviant traces and other stranger things
por: Chesani, Federico, et al.
Publicado: (2021)
por: Chesani, Federico, et al.
Publicado: (2021)
Learning Hybrid Process Models From Events: Process Discovery Without Faking Confidence
por: van der Aalst, Wil M. P., et al.
Publicado: (2017)
por: van der Aalst, Wil M. P., et al.
Publicado: (2017)
Neuro-Symbolic Predictive Process Monitoring
por: Mezini, Axel, et al.
Publicado: (2025)
por: Mezini, Axel, et al.
Publicado: (2025)
Agentic Business Process Management Systems
por: Dumas, Marlon, et al.
Publicado: (2026)
por: Dumas, Marlon, et al.
Publicado: (2026)
On the Hybrid Nature of ABPMS Process Frames and its Implications on Automated Process Discovery
por: Alman, Anti, et al.
Publicado: (2026)
por: Alman, Anti, et al.
Publicado: (2026)
T-ILR: a Neurosymbolic Integration for LTLf
por: Andreoni, Riccardo, et al.
Publicado: (2025)
por: Andreoni, Riccardo, et al.
Publicado: (2025)
Compliance-Aware Predictive Process Monitoring: A Neuro-Symbolic Approach
por: De Santis, Fabrizio, et al.
Publicado: (2026)
por: De Santis, Fabrizio, et al.
Publicado: (2026)
Neuro-Symbolic Learning for Predictive Process Monitoring via Two-Stage Logic Tensor Networks with Rule Pruning
por: De Santis, Fabrizio, et al.
Publicado: (2026)
por: De Santis, Fabrizio, et al.
Publicado: (2026)
Chapter Kannon alla julienne e Fudō Myōō in salamoia. Parodie buddhiste commestibili nella Edo del tardo XVIII secolo
por: Ghidini, Chiara
Publicado: (2024)
por: Ghidini, Chiara
Publicado: (2024)
Robust solutions via optimisation and predictive process monitoring for the scheduling of the interventional radiology procedures
por: Matteo Di Cunzolo, et al.
Publicado: (2024)
por: Matteo Di Cunzolo, et al.
Publicado: (2024)
PhysInOne: Visual Physics Learning and Reasoning in One Suite
por: Zhou, Siyuan, et al.
Publicado: (2026)
por: Zhou, Siyuan, et al.
Publicado: (2026)
Interpretable and Explainable Machine Learning Methods for Predictive Process Monitoring: A Systematic Literature Review
por: Mehdiyev, Nijat, et al.
Publicado: (2023)
por: Mehdiyev, Nijat, et al.
Publicado: (2023)
Predicting Coronary Heart Disease Using a Suite of Machine Learning Models
por: Al-Karaki, Jamal, et al.
Publicado: (2024)
por: Al-Karaki, Jamal, et al.
Publicado: (2024)
Mind Reading or Misreading? LLMs on the Big Five Personality Test
por: Di Cursi, Francesco, et al.
Publicado: (2025)
por: Di Cursi, Francesco, et al.
Publicado: (2025)
DODO: Causal Structure Learning with Budgeted Interventions
por: Gregorini, Matteo, et al.
Publicado: (2025)
por: Gregorini, Matteo, et al.
Publicado: (2025)
Predictive Process Monitoring Using Object-centric Graph Embeddings
por: Gherissi, Wissam, et al.
Publicado: (2025)
por: Gherissi, Wissam, et al.
Publicado: (2025)
Distributed First Order Logic
por: Ghidini, Chiara, et al.
Publicado: (2015)
por: Ghidini, Chiara, et al.
Publicado: (2015)
An Innovative Next Activity Prediction Using Process Entropy and Dynamic Attribute-Wise-Transformer in Predictive Business Process Monitoring
por: Zare, Hadi, et al.
Publicado: (2025)
por: Zare, Hadi, et al.
Publicado: (2025)
o3-mini vs DeepSeek-R1: Which One is Safer?
por: Arrieta, Aitor, et al.
Publicado: (2025)
por: Arrieta, Aitor, et al.
Publicado: (2025)
Queen Detection in Beehives via Environmental Sensor Fusion for Low-Power Edge Computing
por: De Luca, Chiara, et al.
Publicado: (2025)
por: De Luca, Chiara, et al.
Publicado: (2025)
MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects
por: Zhang, Yuying, et al.
Publicado: (2025)
por: Zhang, Yuying, et al.
Publicado: (2025)
Defining bias in AI-systems: Biased models are fair models
por: Lindloff, Chiara, et al.
Publicado: (2025)
por: Lindloff, Chiara, et al.
Publicado: (2025)
PatternPortrait: Draw Me Like One of Your Scribbles
por: Wieluch, Sabine, et al.
Publicado: (2024)
por: Wieluch, Sabine, et al.
Publicado: (2024)
SEAL: Suite for Evaluating API-use of LLMs
por: Kim, Woojeong, et al.
Publicado: (2024)
por: Kim, Woojeong, et al.
Publicado: (2024)
Directly Follows Graphs Go Predictive Process Monitoring With Graph Neural Networks
por: Lischka, Attila, et al.
Publicado: (2025)
por: Lischka, Attila, et al.
Publicado: (2025)
Exploring LLM Features in Predictive Process Monitoring for Small-Scale Event-Logs
por: Padella, Alessandro, et al.
Publicado: (2026)
por: Padella, Alessandro, et al.
Publicado: (2026)
Observation-specific explanations through scattered data approximation
por: Ghidini, Valentina, et al.
Publicado: (2024)
por: Ghidini, Valentina, et al.
Publicado: (2024)
Human Mobility Datasets Enriched With Contextual and Social Dimensions
por: Pugliese, Chiara, et al.
Publicado: (2025)
por: Pugliese, Chiara, et al.
Publicado: (2025)
Ejemplares similares
-
Guiding the generation of counterfactual explanations through temporal background knowledge for Predictive Process Monitoring
por: Buliga, Andrei, et al.
Publicado: (2024) -
Explainable Predictive Process Monitoring: A User Evaluation
por: Rizzi, Williams, et al.
Publicado: (2022) -
Predictive Monitoring of Business Processes
por: Maggi, Fabrizio Maria, et al.
Publicado: (2013) -
Computing unsatisfiable cores for LTLf specifications
por: Roveri, Marco, et al.
Publicado: (2022) -
Generating Counterfactual Explanations Under Temporal Constraints
por: Buliga, Andrei, et al.
Publicado: (2025)