CfP: Artificial Intelligence for Process Mining -- AI4PM 2026 Workshop at ECML PKDD 2026, Naples, September 7, 2026.
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Artificial Intelligence for Process Mining -- AI4PM 2026 Workshop at ECML PKDD 2026.
A full-day workshop exploring the convergence between Artificial Intelligence and Process Mining
Workshop date: September 7, 2026.
https://ai4pm.inginf.units.it/#ecmlpkdd
______________________________________________________________________________________________________________
ECML PKDD is one of the leading international conferences in Machine Learning and Knowledge Discovery. It brings together researchers and practitioners from academia and industry, making it a key venue to discuss high-impact methods, applications, and emerging research directions at the intersection of Artificial Intelligence and Process Mining.
Workshop Scope
Forum for researchers and practitioners interested in AI-enabled Process Mining.
Process-aware information systems generate event data about activities, resources, timestamps, and costs. Process Mining has emerged to extract insights from these logs, while AI and Machine Learning are increasingly shaping predictive monitoring, model discovery, conformance checking, and decision support.
AI4PM 2026 brings together advances and applications across domains such as healthcare, finance, maintenance, and tourism, combining paper presentations with discussion and invited talks.
Topics of Interest
Predictive Process Monitoring
Machine Learning and Deep Learning for Process Mining
Stream Mining for Online Process Environments
Anomaly Detection for Process Mining
NLP and Text Mining for Process Mining
Large Language Models to Interface Process Mining
Multi-perspective Analysis of Processes
AI in Object-centric Process Mining
AI for Robotic Process Automation
Automated Process Modelling and Updating
AI-based Conformance Checking
Transfer Learning for Business Processes
Classification and Clustering of Business Processes
IoT Business Services Leveraged by AI
Multidimensional Process Mining
Prescriptive Learning in Process Mining
Right to Explanation in Process Mining
Submission Guidelines
The CMT submission portal is open. Direct link: https://cmt3.research.microsoft.com/ECMLPKDDWT2026/
Submission Deadline
****June 5 2026***
Accepted Formats
Regular research papers: up to 12 pages including references.
Short research statements: up to 6 pages including references.
Requirements
PDF submission via Microsoft CMT.
English language, conference template required.
Springer LNCS style. Templates: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines
Organizers
Annalisa Appice, Sylvio Barbon Junior, Paolo Ceravolo, Gabriel Marques Tavares
A full-day workshop exploring the convergence between Artificial Intelligence and Process Mining
Workshop date: September 7, 2026.
https://ai4pm.inginf.units.it/#ecmlpkdd
______________________________________________________________________________________________________________
ECML PKDD is one of the leading international conferences in Machine Learning and Knowledge Discovery. It brings together researchers and practitioners from academia and industry, making it a key venue to discuss high-impact methods, applications, and emerging research directions at the intersection of Artificial Intelligence and Process Mining.
Workshop Scope
Forum for researchers and practitioners interested in AI-enabled Process Mining.
Process-aware information systems generate event data about activities, resources, timestamps, and costs. Process Mining has emerged to extract insights from these logs, while AI and Machine Learning are increasingly shaping predictive monitoring, model discovery, conformance checking, and decision support.
AI4PM 2026 brings together advances and applications across domains such as healthcare, finance, maintenance, and tourism, combining paper presentations with discussion and invited talks.
Topics of Interest
Predictive Process Monitoring
Machine Learning and Deep Learning for Process Mining
Stream Mining for Online Process Environments
Anomaly Detection for Process Mining
NLP and Text Mining for Process Mining
Large Language Models to Interface Process Mining
Multi-perspective Analysis of Processes
AI in Object-centric Process Mining
AI for Robotic Process Automation
Automated Process Modelling and Updating
AI-based Conformance Checking
Transfer Learning for Business Processes
Classification and Clustering of Business Processes
IoT Business Services Leveraged by AI
Multidimensional Process Mining
Prescriptive Learning in Process Mining
Right to Explanation in Process Mining
Submission Guidelines
The CMT submission portal is open. Direct link: https://cmt3.research.microsoft.com/ECMLPKDDWT2026/
Submission Deadline
****June 5 2026***
Accepted Formats
Regular research papers: up to 12 pages including references.
Short research statements: up to 6 pages including references.
Requirements
PDF submission via Microsoft CMT.
English language, conference template required.
Springer LNCS style. Templates: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines
Organizers
Annalisa Appice, Sylvio Barbon Junior, Paolo Ceravolo, Gabriel Marques Tavares
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