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ORCIDICPM Workshops 2024: Lyngby, Denmark
- Andrea Delgado
, Tijs Slaats:
Process Mining Workshops - ICPM 2024 International Workshops, Lyngby, Denmark, October 14-18, 2024, Revised Selected Papers. Lecture Notes in Business Information Processing 533, Springer 2025, ISBN 978-3-031-82224-7
9th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI 2024)
- Luciana Barbieri, Kleber Stroeh, Edmundo R. M. Madeira, Wil M. P. van der Aalst:
An LLM-Based Q&A Natural Language Interface to Process Mining. 5-17 - Jakob Brand, Timotheus Kampik, Cem Okulmus, Matthias Weidlich:
One Language to Rule Them All: Behavioural Querying of Process Data Using SQL. 18-30 - Peter Filipp, Rene Dorsch, Andreas Harth:
EVErPREP: Towards an Event Knowledge Graph Enhanced Workflow Model for Event Log Preparation. 31-43 - Frederik Fonger, Niclas Nebelung, Arvid Lepsien, Milda Aleknonyte-Resch, Agnes Koschmider:
Representative Sampling in Process Mining: Two Novel Sampling Algorithms for Event Logs. 44-56 - Benedikt Knopp, Mahsa Pourbafrani, Wil M. P. van der Aalst:
Root Cause Analysis Using Rule Mining on Object-Centric Event Logs. 57-69 - Tian Li, Sander J. J. Leemans, Artem Polyvyanyy:
The Jensen-Shannon Distance for Stochastic Conformance Checking. 70-83 - Christopher T. Schwanen, Wied Pakusa, Wil M. P. van der Aalst:
A Dynamic Programming Approach for Alignments on Process Trees. 84-97
3rd International Workshop on Education Meets Process Mining (EduPM 2024)
- Mitchel Brunings, Dirk Fahland, Boudewijn F. van Dongen:
Constructive Alignment in Process Mining. 105-116 - E. R. Mahendrawathi, Wouter van der Waal, Iris Beerepoot, M. Aqmal R. R. Putra, Hardhika Propitadewa:
Understanding Student Behavior Using Active Window Tracking and Process Mining. 117-128 - Gert Janssenswillen, Seppe Van Daele, Marc Van Daele:
Measuring Skill Acquisition and Retention: A Case Study of Math Fluency. 129-141 - Domenico Potena, Laura Genga, Lorenzo Galeazzi, Gianmarco Vigano, Claudia Diamantini:
Assessing the Impact of Exam Preparation Process on Students' Careers. 142-153 - Christian Rennert, Mahsa Pourbafrani, Wil M. P. van der Aalst:
Evaluation of Study Plans Using Partial Orders. 154-166
3rd International Workshop on Collaboration Mining for Distributed Systems (CoMinDS 2024)
- Janik-Vasily Benzin, Stefanie Rinderle-Ma:
Towards Standardized Modeling of Collaboration Processes in Collaboration Process Discovery. 171-183 - Alessio Giacché, Sara Pettinari, Lorenzo Rossi:
Revealing One-to-Many Event Relationships in Event Knowledge Graphs. 184-196
5th International Workshop on Leveraging Machine Learning in Process Mining (ML4PM 2024)
- Marco Comuzzi, Sungkyu Kim, Jonghyeon Ko, Musa Salamov, Cinzia Cappiello, Barbara Pernici:
On the Impact of Low-Quality Activity Labels in Predictive Process Monitoring. 201-213 - Marc C. Hennig:
Towards Accurate Predictions in ITSM: A Study on Transformer-Based Predictive Process Monitoring. 214-226 - Johannes Roider, Weixin Wang, Dario Zanca, Martin Matzner, Bjoern M. Eskofier:
Predictions in Predictive Process Monitoring with Previously Unseen Categorical Values. 227-239 - Hannes Ueck, Robert Andrews, Moe Thandar Wynn, Sander J. J. Leemans:
Differentially Private Event Logs with Case Attributes. 240-252 - Brecht Wuyts, Seppe K. L. M. vanden Broucke, Jochen De Weerdt:
CaLenDiR: Mitigating Case-Length Distortion in Deep-Learning-Based Predictive Process Monitoring. 253-266 - Zhicong Xian, Ludwig Zellner, Gabriel Marques Tavares, Thomas Seidl:
CC-HIT: Creating Counterfactuals from High-Impact Transitions. 267-278 - Yongbo Yu, Jari Peeperkorn, Johannes De Smedt, Jochen De Weerdt:
Multivariate Approaches for Process Model Forecasting. 279-292 - Jiaxin Yuan, Daniela Grigori, Han van der Aa:
Enhancing Predictive Process Monitoring Using Semantic Information. 293-305
5th International Workshop on Event Data and Behavioral Analytics (EdbA 2024)
- Maike Basmer, Martin Kabierski, Kristina Sahling, Agnieszka Patecka, Saimir Bala, Jan Mendling:
A Classification of Data Quality Issues in Object-Centric Event Data. 311-323 - Alfonso Bravo, Cristina Cabanillas, Joaquín Peña, Manuel Resinas:
Analyzing the Evolution of Boards in Collaborative Work Management Tools. 324-336 - Nina Graves, Tobias Brockhoff, István Koren, Wil M. P. van der Aalst:
Extending Process Intelligence with Quantity-Related Process Mining. 337-349 - Arvid Lepsien, Marco Pegoraro, Frederik Fonger, Dominic Langhammer, Milda Aleknonyte-Resch, Agnes Koschmider:
Ranking the Top-K Realizations of Stochastically Known Event Logs. 350-362 - Lukas Liss, Nico Elbert, Christoph M. Flath, Wil M. P. van der Aalst:
Framework for Extracting Real-World Object-Centric Event Logs from Game Data. 363-375 - Viki Peeva, Marvin Porsil, Wil M. P. van der Aalst:
Object-Centric Local Process Models. 376-388 - Calvin Schröder, Jan Niklas van Detten, Sander J. J. Leemans:
Locally Optimized Process Tree Discovery. 389-401 - Jan Niklas van Detten, Pol Schumacher, Sander J. J. Leemans:
A Framework for Advanced Case Notions in Object-Centric Process Mining. 402-414
7th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H 2024)
- Abdulaziz Aljebreen, Allan Pang, Marc de Kamps, Owen A. Johnson:
Predicting Unplanned Hospital Readmissions Using Outcome-Oriented Predictive Process Mining. 421-433 - Jose-Luis Bayo-Monton, Begoña Martínez-Salvador, Carlos Fernández-Llatas, Mar Marcos:
Structural and Semantic Enrichment of Models for the Interactive Discovery of Clinical Processes. 434-446 - Joscha Grüger, Martin Kuhn, Karim Amri, Ralph Bergmann:
Research Paper: Enhancing Healthcare Decision-Making with Analogy-Based Reasoning. 447-459 - Daniel Petrov, Thu Nguyen, Areti Manataki, Colin McCowan:
Analysing Disease Trajectories of Multimorbidity Through Process Mining Techniques: A Case Study. 460-472 - Mozhgan Vazifehdoostirani, Andrei Buliga, Laura Genga, Rob Verhoeven, Remco M. Dijkman:
Predictive Insights for Personalising Esophagogastric Cancer Treatment Process - A Case Study. 473-485 - Jana Vormann, Jonas Blatt, Flavio Horbach, Nils Herm-Stapelberg, Lukas Mittnacht, Patrick Delfmann, Tobias Walter, Sven Pagel:
Case Study: Insights on Prostate Cancer Treatment Pathways Using Process Discovery. 486-499
1st International Workshop on Empirical Research in Process Mining (ERPM 2024)
- Marie-Christin Häge, Jana-Rebecca Rehse:
A Taxonomy for Conformance Checking Visualizations. 507-519 - Jan Mendling, Mieke Jans, Kristina Sahling:
Structuring Empirical Research on Process Mining at the Individual Level Using the Theory of Effective Use. 520-532 - Francesca Meneghello, Massimo Coletti, Debora Di Marco, Massimiliano Ronzani, Chiara Di Francescomarino, Chiara Ghidini:
Analysing and Improving Business Processes Through Hybrid Simulation Model: A Case Study. 533-545 - Felix Rothhagen, Felix Kerst, Eduard Kant Mandal, Candan Çetin, Carolin Ullrich:
Leveraging Process Mining on the Shop Floor: An Exploratory Study. 546-558 - Lital Shalev, Irit Hadar, Rotem Dror, Adir Solomon, Elizaveta Sorokina, Michal Weisman Raymond, Pnina Soffer:
Using Facial Expressions to Predict Process Mining Task Performance. 559-571 - Jacques Trottier, William Van Woensel, Xiaoyang Wang, Kavya Mallur, Najah Mary El-Gharib, Daniel Amyot:
Using Process Mining with Pre- and Post-intervention Analysis to Improve Digital Service Delivery: A Governmental Case Study. 572-585 - Jessica Van Suetendael, Benoît Depaire, Mieke Jans, Niels Martin:
Towards an Ethogram of Exploratory Process Mining Behavior. 586-598
1st International Workshop on Generative Artificial Intelligence for Process Mining (GenAI4PM 2024)
- Kaan Apaydin, Yorck Zisgen:
Local Large Language Models for Business Process Modeling. 605-609 - Alessandro Berti, Humam Kourani, Wil M. P. van der Aalst:
PM-LLM-Benchmark: Evaluating Large Language Models on Process Mining Tasks. 610-623 - Wesley Da Silva Santos, Juliana Rezende Coutinho, Fernanda Baião, Georges Miranda Spyrides, Hélio Côrtes Vieira Lopes:
Terpsichora: A Tool to Generate Synthetic MP-Declare Process Models. 624-636 - Nataliia Klievtsova, Janik-Vasily Benzin, Juergen Mangler, Timotheus Kampik, Stefanie Rinderle-Ma:
Process Modeler vs. Chatbot: Is Generative AI Taking over Process Modeling? 637-649 - Andrei Cosmin Redis, Mohammadreza Fani Sani, Bahram Zarrin, Andrea Burattin:
Skill Learning Using Process Mining for Large Language Model Plan Generation. 650-662 - Max W. Vogt, Peter van der Putten, Hajo A. Reijers:
Providing Domain Knowledge for Process Mining with ReWOO-Based Agents. 663-676
International Workshop on Stream Management and Analytics for Process Mining (SMA4PM 2024)
- Christian Imenkamp, Samira Akili, Matthias Weidlich, Agnes Koschmider:
Detect and Conquer: Template-Based Analysis of Processes Using Complex Event Processing. 681-692 - Tamara Verbeek, Ruozhu Yao, Marwan Hassani:
Task-Free Continual Learning with Dynamic Loss for Online Next Activity Prediction. 693-705
1st International Workshop on Process Mining for Sustainability (PM4S 2024)
- Ioana Costache, Oktay Turetken, Banu Aysolmaz, Karolin Winter:
Process Mining Guidelines for Greenhouse Gas Emission Management in Production Processes. 711-724 - Andreas Fritsch:
Sustainability Analysis Patterns for Process Mining and Process Modelling Approaches. 725-737 - Cielo González Moyano, Finn Klessascheck, Saimir Bala, Stephan A. Fahrenkrog-Petersen, Jan Mendling:
Towards Nudging in BPM: A Human-Centric Approach for Sustainable Business Processes. 738-750 - Muskan, Felix Mannhardt, Boudewijn F. van Dongen:
Extending Genetic Process Discovery to Reveal Unfairness in Processes. 751-763 - Dominik Schäfer, Finn Klessascheck, Timotheus Kampik, Luise Pufahl:
Can We Leverage Process Data from ERP Systems for Business Process Sustainability Analyses? 764-777
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