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ORCID3rd ICPM 2021: Eindhoven, The Netherlands
- Claudio Di Ciccio
, Chiara Di Francescomarino, Pnina Soffer:
3rd International Conference on Process Mining, ICPM 2021, Eindhoven, The Netherlands, October 31 - Nov. 4, 2021. IEEE 2021, ISBN 978-1-6654-3514-7 - Silvia Miksch:
Visual Analytics Meets Process Mining: Challenges and Opportunities. xiv - Ahmed Awad, Kristo Raun, Matthias Weidlich:
Efficient Approximate Conformance Checking Using Trie Data Structures. 1-8 - Giacomo Bergami, Fabrizio Maria Maggi, Marco Montali, Rafael Peñaloza:
Probabilistic Trace Alignment. 9-16 - Jesus Ojeda:
Partial MaxSAT Computation of Conformance Checking Artefacts. 17-24 - Mathilde Boltenhagen, Thomas Chatain, Josep Carmona:
An A*-Algorithm for Computing Discounted Anti-Alignments in Process Mining. 25-31 - Dennis Brons, Roeland Scheepens, Dirk Fahland:
Striking a new Balance in Accuracy and Simplicity with the Probabilistic Inductive Miner. 32-39 - Dominique Sommers, Vlado Menkovski, Dirk Fahland:
Process Discovery Using Graph Neural Networks. 40-47 - Simone Agostinelli, Giacomo Bergami, Alessio Fiorenza, Fabrizio Maria Maggi, Andrea Marrella, Fabio Patrizi:
Discovering Declarative Process Model Behavior from Event Logs via Model Learning. 48-55 - Gaël Bernard, Periklis Andritsos:
Selecting Representative Sample Traces from Large Event Logs. 56-63 - Martin Kabierski, Hoang Lam Nguyen, Lars Grunske, Matthias Weidlich:
Sampling What Matters: Relevance-guided Sampling of Event Logs. 64-71 - Stephan A. Fahrenkrog-Petersen, Martin Kabierski, Fabian Rösel, Han van der Aa, Matthias Weidlich:
SaCoFa: Semantics-aware Control-flow Anonymization for Process Mining. 72-79 - Gamal Elkoumy, Alisa Pankova, Marlon Dumas:
Mine Me but Don't Single Me Out: Differentially Private Event Logs for Process Mining. 80-87 - Chihcheng Hsieh, Catarina Moreira, Chun Ouyang:
DiCE4EL: Interpreting Process Predictions using a Milestone-Aware Counterfactual Approach. 88-95 - Zahra Dasht Bozorgi, Irene Teinemaa, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy:
Prescriptive Process Monitoring for Cost-Aware Cycle Time Reduction. 96-103 - Gyunam Park, Wil M. P. van der Aalst:
Realizing A Digital Twin of An Organization Using Action-oriented Process Mining. 104-111 - Vincenzo Pasquadibisceglie, Giovanna Castellano, Annalisa Appice, Donato Malerba:
FOX: a neuro-Fuzzy model for process Outcome prediction and eXplanation. 112-119 - Jelmer Jan Koorn, Iris Beerepoot, Vinicius Stein Dani, Xixi Lu, Inge van de Weerd, Henrik Leopold, Hajo A. Reijers:
Bringing Rigor to the Qualitative Evaluation of Process Mining Findings: An Analysis and a Proposal. 120-127 - Jan Niklas Adams, Wil M. P. van der Aalst:
Precision and Fitness in Object-Centric Process Mining. 128-135 - Pam Pijnenborg, Rob Verhoeven, Murat Firat, Hanneke van Laarhoven, Laura Genga:
Towards Evidence-Based Analysis of Palliative Treatments for Stomach and Esophageal Cancer Patients: a Process Mining Approach. 136-143 - Christoph Kecht, Andreas Egger, Wolfgang Kratsch, Maximilian Röglinger:
Event Log Construction from Customer Service Conversations Using Natural Language Inference. 144-151 - Meriana Kobeissi, Nour Assy, Walid Gaaloul, Bruno Defude, Bassem Haidar:
An Intent-Based Natural Language Interface for Querying Process Execution Data. 152-159 - Chiao-Yun Li, Sebastiaan J. van Zelst, Wil M. P. van der Aalst:
An Activity Instance Based Hierarchical Framework for Event Abstraction. 160-167
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