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ORCIDICPM Workshops 2023: Rome, Italy
- Johannes De Smedt
, Pnina Soffer:
Process Mining Workshops - ICPM 2023 International Workshops, Rome, Italy, October 23-27, 2023, Revised Selected Papers. Lecture Notes in Business Information Processing 503, Springer 2024, ISBN 978-3-031-56106-1
Fourth International Workshop on Event Data and Behavioral Analytics (EdbA 2023)
- Zahra Ahmadi, Yannis Bertrand, María Isabel Pozo Romero, Estefanía Serral:
Analysing the Foraging Behaviour of Bees Using Process Mining: A Case Study. 5-18 - Anti Alman, Alessio Arleo, Iris Beerepoot, Andrea Burattin, Claudio Di Ciccio, Manuel Resinas:
Tiramisù: A Recipe for Visual Sensemaking of Multi-faceted Process Information. 19-31 - Yannis Bertrand, Silvestro Veneruso, Francesco Leotta, Massimo Mecella, Estefanía Serral:
NICE: The Native IoT-Centric Event Log Model for Process Mining. 32-44 - Roberta De Fazio, Antonio Balzanella, Stefano Marrone, Fiammetta Marulli, Laura Verde, Vincenzo Reccia, Paolo Valletta:
CaseID Detection for Process Mining: A Heuristic-Based Methodology. 45-57 - Onur Dogan, Massimiliano de Leoni:
Parallelism-Based Session Creation to Identify High-Level Activities in Event Log Abstraction. 58-69 - Alexandre Goossens, Adrian Rebmann, Johannes De Smedt, Jan Vanthienen, Han van der Aa:
From OCEL to DOCEL - Datasets and Automated Transformation. 70-83 - Eva L. Klijn, Dennis Preuss, Lulzim Imeri, Florin Baumann, Felix Mannhardt, Dirk Fahland:
Event Knowledge Graphs for Auditing: A Case Study. 84-97 - Ying Liu, Vinicius Stein Dani, Iris Beerepoot, Xixi Lu:
Turning Logs into Lumber: Preprocessing Tasks in Process Mining. 98-109 - Christian Rennert, Wil M. P. van der Aalst:
Improving Precision in Process Trees Using Subprocess Tree Logs. 110-122 - Jochem Veldman, Xixi Lu, Wouter van der Waal, Marcus Dees, Inge van de Weerd:
Generating Process Anomalies with Markov Chains: A Pattern-Driven Approach. 123-135
4th International Workshop on Leveraging Machine Learning for Process Mining (ML4PM 2023)
- Francesco Folino, Luigi Pontieri, Pietro Sabatino:
Sparse Mixtures of Shallow Linear Experts for Interpretable and Fast Outcome Prediction. 141-152 - Sungkyu Kim, Marco Comuzzi, Chiara Di Francescomarino:
Understanding the Impact of Design Choices on the Performance of Predictive Process Monitoring. 153-164 - Peng Li, Hantian Zhang, Xu Chu, Alexander Seeliger, Cong Yu:
Discovering Process-Based Drivers for Case-Level Outcome Explanation. 165-178 - Alessandro Niro, Michael Werner:
Detecting Anomalous Events in Object-Centric Business Processes via Graph Neural Networks. 179-190 - Mozhgan Vazifehdoostirani, Mohsen Abbaspour Onari, Isel Grau, Laura Genga, Remco M. Dijkman:
Uncovering the Hidden Significance of Activities Location in Predictive Process Monitoring. 191-203
6th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H 2023)
- Ruben Claus, Niels Martin, Esther R. C. Janssen, Gert Janssenswillen, Tim A. E. J. Boymans, Rob J. B. Vanwersch:
Using Process Mining to Explore the Impact of Socio-economic Status on the Treatment of Musculoskeletal Disorders - A Case Study. 211-222 - Gemma Di Federico, Carlos Fernández-Llatas, Zahra Ahmadi, Mohsen Shirali, Andrea Burattin:
Identifying Variation in Personal Daily Routine Through Process Mining: A Case Study. 223-234 - Owen P. Dwyer, Lara Chammas, Emanuel Sallinger, Jim Davies:
Investigating an Ontology-Informed Approach to Event Log Generation in Healthcare. 235-246 - Carlos Fernández-Llatas, Andrea Burattin:
I-PALIA: Discovering BPMN Processes with Duplicated Activities for Healthcare Domains. 247-258 - Joscha Grüger, Ralph Bergmann:
Enhancing Clinical Insights: Knowledge-Intensive and Context-Sensitive Process Instance Visualization in Health Care. 259-270 - Zoe Hancox, Samuel D. Relton, Andrew Clegg, Philip G. Conaghan, Dan Schofield:
Hypergraphs for Frailty Analysis Research Paper. 271-282 - Elisabeth Mayrhuber, Emmanuel Helm, Lisa Ehrlinger:
Ontology-Based Multi-perspective Process Mining in Laboratories: A Case Study. 283-295 - Milad Naeimaei Aali, Felix Mannhardt, Pieter Jelle Toussaint:
Clinical Event Knowledge Graphs: Enriching Healthcare Event Data with Entities and Clinical Concepts - Research Paper. 296-308 - Mariachiara Savino, Carlos Fernández-Llatas, Roberto Gatta, Giuditta Chiloiro, Silvia Di Franco, Gema Ibáñez-Sánchez, Zoe Valero-Ramon, Maria Antonietta Gambacorta, Vincenzo Valentini, Andrea Damiani:
Error-Correcting Methodology for Evaluating Compliance to Clinical Guidelines: A Case Study on Rectal Cancer. 309-320
2nd International Workshop Education Meets Process Mining (EduPM 2023)
- Landelin Delcoucq:
Exploring Gamification in Process Mining Education: Towards a Playful and Engaging Approach. 325-335 - Andrea Maldonado, Ludwig Zellner, Sven Strickroth, Thomas Seidl:
Process Mining Techniques for Collusion Detection in Online Exams. 336-348 - Domenico Potena, Laura Genga, Annalisa Basta, Chiara Mercati, Claudia Diamantini:
Evidence-Based Student Career and Performance Analysis with Process Mining: A Case Study. 349-360 - Majid Rafiei, Duygu Bayrak, Mahsa Pourbafrani, Gyunam Park, Hayyan Helal, Gerhard Lakemeyer, Wil M. P. van der Aalst:
Extracting Rules from Event Data for Study Planning. 361-374
8th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI 2023)
- Mohammadreza Fani Sani, Michal Sroka, Andrea Burattin:
LLMs and Process Mining: Challenges in RPA - Task Grouping, Labelling and Connector Recommendation. 379-391 - Tian Li, Gyunam Park, Wil M. P. van der Aalst:
Checking Constraints for Object-Centric Process Executions. 392-405 - Gyunam Park, Sevde Aydin, Cüneyt Ugur, Wil M. P. van der Aalst:
Analyzing an After-Sales Service Process Using Object-Centric Process Mining: A Case Study. 406-418 - Viki Peeva, Wil M. P. van der Aalst:
Grouping Local Process Models. 419-430 - Ava Swevels, Dirk Fahland, Marco Montali:
Implementing Object-Centric Event Data Models in Event Knowledge Graphs. 431-443
2nd International Workshop on Collaboration Mining for Distributed Systems (COMINDS 2023)
- Janik-Vasily Benzin, Stefanie Rinderle-Ma:
Petri Net Classes for Collaboration Mining: Assessment and Design Guidelines. 449-461 - Nina Graves, István Koren, Majid Rafiei, Wil M. P. van der Aalst:
From Identities to Quantities: Introducing Items and Decoupling Points to Object-Centric Process Mining. 462-474 - Giovanni Meroni, Szabolcs Garda:
Mapping Artifact-Driven Monitoring Results Back to BPMN Process Diagrams. 475-486 - Leonel Peña, Daniela Andrade, Andrea Delgado, Daniel Calegari:
An Approach for Discovering Inter-organizational Collaborative Business Processes in BPMN 2.0. 487-498 - Julian Rott, Rene Dorsch, Michael Freund, Markus Böhm, Andreas Harth, Helmut Krcmar:
Breaking Down Barriers with Knowledge Graphs: Data Integration for Cross-Organizational Process Mining. 499-512
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