PM4Py Gallery Wall

PM4Py is a trusted tool used by researchers and practitioners worldwide to implement innovative process mining algorithms. This gallery showcases scientific works that reference PM4Py and celebrates its impact on the process mining community. If you’ve utilized PM4Py in a project, paper, or software, we’d love to feature your contribution—let us know!

On the cognitive and behavioral effects of abstraction and fragmentation in modularized process modelsClemens Schreiber, Amine Abbad-Andaloussi, Barbara Weber (2024)Cover page of the publication titled: On the cognitive and behavioral effects of abstraction and fragmentation in modularized process models
What makes life for process mining analysts difficult? A reflection of challengesLisa Zimmermann, Francesca Zerbato, Barbara Weber (2024)Cover page of the publication titled: What makes life for process mining analysts difficult? A reflection of challenges
Bot log mining: An approach to the integrated analysis of Robotic Process Automation and process miningAndreas Egger, Arthur H.M. ter Hofstede, Wolfgang Kratsch, Sander J.J. Leemans, Maximilian Röglinger, Moe T. Wynn (2024)Cover page of the publication titled: Bot log mining: An approach to the integrated analysis of Robotic Process Automation and process mining
VERONA: A python library for benchmarking deep learning in business process monitoringPedro Gamallo-Fernandez, Efrén Rama-Maneiro, Juan C. Vidal, Manuel Lama (2024)Cover page of the publication titled: VERONA: A python library for benchmarking deep learning in business process monitoring
An Event Log Repair Method Based on Masked Transformer ModelPing Wua, Xianwen Fang, Huan Fang, Ziyou Gong, Daoyu Kan (2024)Cover page of the publication titled: An Event Log Repair Method Based on Masked Transformer Model
Transforming Event Knowledge Graph to Object-Centric Event Logs: A Comparative Study for Multi-dimensional Process AnalysisShahrzad Khayatbashi, Olaf Hartig, Amin Jalali (2024)Cover page of the publication titled: Transforming Event Knowledge Graph to Object-Centric Event Logs: A Comparative Study for Multi-dimensional Process Analysis
Predictive process monitoring: concepts, challenges, and future research directionsPaolo Ceravolo, Marco Comuzzi, Jochen De Weerdt, Chiara Di Francescomarino and Fabrizio Maria Maggi (2024)Cover page of the publication titled: Predictive process monitoring: concepts, challenges, and future research directions
Scalable Discovery of Partially Ordered Workflow Models with Formal GuaranteesHumam Kourani, Daniel Schuster, Wil van der Aalst (2024)Cover page of the publication titled: Scalable Discovery of Partially Ordered Workflow Models with Formal Guarantees
LTLf2ASP: LTLf Bounded Satisfiability in ASPValeria Fionda, Antonio Ielo, Francesco Ricca (2024)Cover page of the publication titled: LTLf2ASP: LTLf Bounded Satisfiability in ASP
White-Box Validation of Collective Adaptive Systems by Statistical Model Checking and Process MiningRoberto Casaluce, Max Tschaikowski, Andrea Vandin (2024)Cover page of the publication titled: White-Box Validation of Collective Adaptive Systems by Statistical Model Checking and Process Mining
Tuning Machine Learning to Address Process Mining RequirementsPaolo Ceravolo, Sylvio Barbon Junior, Ernesto Damiani, Wil van der Aalst (2024)Cover page of the publication titled: Tuning Machine Learning to Address Process Mining Requirements
Reasoning on responsibilities for optimal process alignment computationMatteo Baldoni, Cristina Baroglio, Elisa Marengo, Roberto Micalizio (2024)Cover page of the publication titled: Reasoning on responsibilities for optimal process alignment computation
Structural Process Variety and StandardizationClemens Schreiber, Amine Abbad-Andaloussi (2024)Cover page of the publication titled: Structural Process Variety and Standardization
Discovering congestion dynamics models in clinical pathways using background knowledgeFrancesco Lupia, Enrico Russo, Giacomo Longo, Andrea Pugliese (2024)Cover page of the publication titled: Discovering congestion dynamics models in clinical pathways using background knowledge
Differentially Private Inductive MinerMax Schulze, Yorck Zisgen, Moritz Kirschte, Esfandiar Mohammadi, Agnes Koschmider (2024)Cover page of the publication titled: Differentially Private Inductive Miner
Improving Process Discovery Using Translucent Activity RelationshipsHarry H. Beyel, Wil M. P. van der Aalst (2024)Cover page of the publication titled: Improving Process Discovery Using Translucent Activity Relationships
Analyzing Data Streams from Cyber-Physical-Systems: A Case StudyHarry H. Beyel, Omar Makke, Mahsa Pourbafrani, Oleg Gusikhin, Wil M. P. van der Aalst (2024)Cover page of the publication titled: Analyzing Data Streams from Cyber-Physical-Systems: A Case Study
Data-Driven Decision Support for Business Processes: Causal Reasoning and DiscoveryAli J. Alaee, Matthias Weidlich, Arik Senderovich (2024)Cover page of the publication titled: Data-Driven Decision Support for Business Processes: Causal Reasoning and Discovery
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