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ORCID2nd ICPM 2020: Padua, Italy
- Boudewijn F. van Dongen, Marco Montali, Moe Thandar Wynn:
2nd International Conference on Process Mining, ICPM 2020, Padua, Italy, October 4-9, 2020. IEEE 2020, ISBN 978-1-7281-9832-3
Online Operational Support
- Thomas Seidl:
Keynote Data Mining on Process Data. 1 - Riccardo Galanti, Bernat Coma-Puig
, Massimiliano de Leoni, Josep Carmona, Nicolò Navarin:
Explainable Predictive Process Monitoring. 1-8 - Massimiliano de Leoni, Marcus Dees, Laurens Reulink:
Design and Evaluation of a Process-aware Recommender System based on Prescriptive Analytics. 9-16
Time and Predictions
- Zahra Toosinezhad, Dirk Fahland, Özge Köroglu, Wil M. P. van der Aalst:
Detecting System-Level Behavior Leading To Dynamic Bottlenecks. 17-24 - Eva L. Klijn, Dirk Fahland:
Identifying and Reducing Errors in Remaining Time Prediction due to Inter-Case Dynamics. 25-32 - Tobias Brockhoff, Merih Seran Uysal, Wil M. P. van der Aalst:
Time-aware Concept Drift Detection Using the Earth Mover's Distance. 33-40
Data Quality and Preparation
- Sareh Sadeghianasl, Arthur H. M. ter Hofstede, Suriadi Suriadi, Selen Turkay:
Collaborative and Interactive Detection and Repair of Activity Labels in Process Event Logs. 41-48 - Robert Andrews, Fahame Emamjome, Arthur H. M. ter Hofstede, Hajo A. Reijers:
An Expert Lens on Data Quality in Process Mining. 49-56 - Guy Berkenstadt, Avigdor Gal, Arik Senderovich, Roee Shraga, Matthias Weidlich:
Queueing Inference for Process Performance Analysis with Missing Life-Cycle Data. 57-64
Discovery with Unconventional Input
- Marcus Dees, Bart Hompes, Wil M. P. van der Aalst:
Events Put into Context (EPiC). 65-72 - Marwa Elleuch, Oumaima Alaoui Ismaili, Nassim Laga, Nour Assy, Walid Gaaloul:
Discovery of Activities' Actor Perspective from Emails based on Speech Acts Detection. 73-80 - Ahmed Awad, Matthias Weidlich, Sherif Sakr:
Process Mining over Unordered Event Streams. 81-88
Conformance Checking
- Manal Laghmouch, Mieke Jans, Benoît Depaire:
Classifying process deviations with weak supervision. 89-96 - Artem Polyvyanyy, Alistair Moffat, Luciano García-Bañuelos:
An Entropic Relevance Measure for Stochastic Conformance Checking in Process Mining. 97-104 - Mohammadreza Fani Sani, Juan J. Garza Gonzalez, Sebastiaan J. van Zelst, Wil M. P. van der Aalst:
Conformance Checking Approximation Using Simulation. 105-112
Rule Mining
- Alessio Cecconi, Giuseppe De Giacomo, Claudio Di Ciccio, Fabrizio Maria Maggi, Jan Mendling:
A Temporal Logic-Based Measurement Framework for Process Mining. 113-120 - Anti Alman, Claudio Di Ciccio, Dominik Haas, Fabrizio Maria Maggi, Alexander Nolte:
Rule Mining with RuM. 121-128 - Zahra Dasht Bozorgi, Irene Teinemaa, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy:
Process Mining Meets Causal Machine Learning: Discovering Causal Rules from Event Logs. 129-136
Process Discovery
- Sander J. J. Leemans, Kanika Goel, Sebastiaan J. van Zelst:
Using Multi-Level Information in Hierarchical Process Mining: Balancing Behavioural Quality and Model Complexity. 137-144 - Xixi Lu, Avigdor Gal, Hajo A. Reijers:
Discovering Hierarchical Processes Using Flexible Activity Trees for Event Abstraction. 145-152 - Volodymyr Leno, Adriano Augusto, Marlon Dumas, Marcello La Rosa, Fabrizio Maria Maggi, Artem Polyvyanyy:
Identifying Candidate Routines for Robotic Process Automation from Unsegmented UI Logs. 153-160
Anomaly Detection and Clustering
- Sylvio Barbon Junior, Paolo Ceravolo, Ernesto Damiani, Nicolas Jashchenko Omori, Gabriel Marques Tavares:
Anomaly Detection on Event Logs with a Scarcity of Labels. 161-168 - Florian Richter, Yifeng Lu, Ludwig Zellner, Janina Sontheim, Thomas Seidl:
TOAD: Trace Ordering for Anomaly Detection. 169-176 - Fareed Zandkarimi, Jana-Rebecca Rehse, Pouya Soudmand, Hartmut Hoehle:
A Generic Framework for Trace Clustering in Process Mining. 177-184
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