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ORCID4th ICPM 2022: Bolzano, Italy
- Andrea Burattin, Artem Polyvyanyy, Barbara Weber:
4th International Conference on Process Mining, ICPM 2022, Bolzano, Italy, October 23-28, 2022. IEEE 2022, ISBN 979-8-3503-9714-7 - Minos N. Garofalakis:
Complex-Event Mining Over Centralized and Distributed Data Streams. xv - Alessandro Padella
, Massimiliano de Leoni, Onur Dogan, Riccardo Galanti:
Explainable Process Prescriptive Analytics. 16-23 - Dina Bayomie, Kate Revoredo, Claudio Di Ciccio, Jan Mendling:
Improving Accuracy and Explainability in Event-Case Correlation via Rule Mining. 24-31 - Jelmer Jan Koorn, Xixi Lu, Henrik Leopold, Niels Martin, Sam Verboven, Hajo A. Reijers:
Mining Statistical Relations for Better Decision Making in Healthcare Processes. 32-39 - Andrea Chiorrini, Claudia Diamantini, Laura Genga, Martina Pioli, Domenico Potena:
Towards next-location prediction for process executions. 40-47 - Mozhgan Vazifehdoostirani, Laura Genga, Remco M. Dijkman:
Encoding High-Level Control-Flow Construct Information for Process Outcome Prediction. 48-55 - Alexander Stevens, Johannes De Smedt, Jari Peeperkorn, Jochen De Weerdt:
Assessing the Robustness in Predictive Process Monitoring through Adversarial Attacks. 56-63 - Eric Verbeek:
Discovering an S-Coverable WF-net using DiSCover. 64-71 - David Chapela-Campa, Marlon Dumas:
Modeling Extraneous Activity Delays in Business Process Simulation. 72-79 - Adam T. Burke, Sander J. J. Leemans, Moe Thandar Wynn, Wil M. P. van der Aalst, Arthur H. M. ter Hofstede:
Stochastic Process Model-Log Quality Dimensions: An Experimental Study. 80-87 - Akio Watanabe, Yousuke Takahashi, Hiroki Ikeuchi, Kotaro Matsuda:
Grammar-Based Process Model Representation for Probabilistic Conformance Checking. 88-95 - Alessio Cecconi, Claudio Di Ciccio, Arik Senderovich:
Measurement of Rule-based LTLf Declarative Process Specifications. 96-103 - Giacomo Acitelli, Marco Angelini, Silvia Bonomi, Fabrizio Maria Maggi, Andrea Marrella, Alessandro Palma:
Context-Aware Trace Alignment with Automated Planning. 104-111 - Thomas Chatain, Neha Rino:
Timed Alignments. 112-119 - Tian Li, Sebastiaan J. van Zelst:
Cache Enhanced Split-Point-Based Alignment Calculation. 120-127 - Jan Niklas Adams, Daniel Schuster, Seth Schmitz, Günther Schuh, Wil M. P. van der Aalst:
Defining Cases and Variants for Object-Centric Event Data. 128-135 - Bianka Bakullari, Wil M. P. van der Aalst:
High-Level Event Mining: A Framework. 136-143 - Gamal Elkoumy, Marlon Dumas:
Libra: High-Utility Anonymization of Event Logs for Process Mining via Subsampling. 144-151
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