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ORCID19th Business Process Management 2021: Rome, Italy
- Artem Polyvyanyy
, Moe Thandar Wynn, Amy Van Looy, Manfred Reichert:
Business Process Management - 19th International Conference, BPM 2021, Rome, Italy, September 06-10, 2021, Proceedings. Lecture Notes in Computer Science 12875, Springer 2021, ISBN 978-3-030-85468-3
Keynote Paper
- Stefanie Rinderle-Ma, Juergen Mangler:
Process Automation and Process Mining in Manufacturing. 3-14
Tutorials
- Jan Mendling, Djordje Djurica, Monika Malinova:
Cognitive Effectiveness of Representations for Process Mining. 17-22 - Anti Alman, Claudio Di Ciccio, Fabrizio Maria Maggi, Marco Montali, Han van der Aa:
RuM: Declarative Process Mining, Distilled. 23-29 - Andrea Marrella, Tathagata Chakraborti:
Applications of Automated Planning for Business Process Management. 30-36 - Giovanni Meroni:
Artifact-Driven Process Monitoring: A Viable Solution to Continuously and Autonomously Monitor Business Processes. 37-43
Process Discovery
- Tijs Slaats, Søren Debois, Christoffer Olling Back:
Weighing the Pros and Cons: Process Discovery with Negative Examples. 47-64 - Christopher Klinkmüller, Alexander Seeliger, Richard Müller, Luise Pufahl, Ingo Weber:
A Method for Debugging Process Discovery Pipelines to Analyze the Consistency of Model Properties. 65-84 - Luis Quishpi, Josep Carmona, Lluís Padró:
Extracting Decision Models from Textual Descriptions of Processes. 85-102
Predictive Process Monitoring
- Praveen Venkateswaran, Vinod Muthusamy, Vatche Isahagian, Nalini Venkatasubramanian:
Robust and Generalizable Predictive Models for Business Processes. 105-122 - Stephen Pauwels, Toon Calders:
Incremental Predictive Process Monitoring: The Next Activity Case. 123-140 - Hans Weytjens, Jochen De Weerdt:
Learning Uncertainty with Artificial Neural Networks for Improved Remaining Time Prediction of Business Processes. 141-157
Data- and Time-awareness in BPM
- Håkon Normann, Søren Debois, Tijs Slaats, Thomas T. Hildebrandt:
Zoom and Enhance: Action Refinement via Subprocesses in Timed Declarative Processes. 161-178 - Silvio Ghilardi, Alessandro Gianola, Marco Montali, Andrey Rivkin:
Delta-BPMN: A Concrete Language and Verifier for Data-Aware BPMN. 179-196 - Sudhanshu G. R. Chouhan, Anna Wilbik, Remco M. Dijkman:
A Real-Time Method for Detecting Temporary Process Variants in Event Log Data. 197-214
Conformance Checking
- Paolo Felli, Alessandro Gianola, Marco Montali, Andrey Rivkin, Sarah Winkler:
CoCoMoT: Conformance Checking of Multi-perspective Processes via SMT. 217-234 - Giacomo Bergami, Fabrizio Maria Maggi, Andrea Marrella, Marco Montali:
Aligning Data-Aware Declarative Process Models and Event Logs. 235-251 - Mathilde Boltenhagen, Thomas Chatain, Josep Carmona:
A Discounted Cost Function for Fast Alignments of Business Processes. 252-269
Blockchain and Robotic Process Automation
- Yuki Urabe, Sayaka Yagi, Kimio Tsuchikawa, Haruo Oishi:
Task Clustering Method Using User Interaction Logs to Plan RPA Introduction. 273-288 - Lukas-Valentin Herm, Christian Janiesch, Hajo A. Reijers, Franz Seubert:
From Symbolic RPA to Intelligent RPA: Challenges for Developing and Operating Intelligent Software Robots. 289-305 - Richard Hobeck, Christopher Klinkmüller, H. M. N. Dilum Bandara, Ingo Weber, Wil M. P. van der Aalst:
Process Mining on Blockchain Data: A Case Study of Augur. 306-323
Process and Resource Analytics
- Peter Pfeiffer, Johannes Lahann, Peter Fettke:
Multivariate Business Process Representation Learning Utilizing Gramian Angular Fields and Convolutional Neural Networks. 327-344 - Jing Yang, Chun Ouyang, Arthur H. M. ter Hofstede, Wil M. P. van der Aalst, Michael Leyer:
Seeing the Forest for the Trees: Group-Oriented Workforce Analytics. 345-362 - Rebekah Eden, Rehan Syed, Sander J. J. Leemans, Joos A. C. M. Buijs:
A Case Study of Inconsistency in Process Mining Use: Implications for the Theory of Effective Use. 363-379
Concept Drift and Anomaly Detection from Event Logs
- Yang Lu, Qifan Chen, Simon K. Poon:
A Robust and Accurate Approach to Detect Process Drifts from Event Streams. 383-399 - Jan Niklas Adams, Sebastiaan J. van Zelst, Lara Quack, Kathrin Hausmann, Wil M. P. van der Aalst, Thomas Rose:
A Framework for Explainable Concept Drift Detection in Process Mining. 400-416 - Siyu Huo, Hagen Völzer, Prabhat Reddy, Prerna Agarwal, Vatche Isahagian, Vinod Muthusamy:
Graph Autoencoders for Business Process Anomaly Detection. 417-433
Digital Innovation and Process Improvement
- Emil Kleider, Thomas Kreuzer, Benedict Lösser, Anna Maria Oberländer, Torsten Eymann:
Drivers and Barriers of the Digital Innovation Process - Case Study Insights from a German Public University. 437-454 - Charon Abbott, Wasana Bandara, Erica French, Mary Tate, Paul Mathiesen:
A Stakeholder Engagement Model for Process Improvement Initiatives. 455-472
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