default search action
6th ICPM 2024: Kgs. Lyngby, Denmark
- 6th International Conference on Process Mining, ICPM 2024, Kgs. Lyngby, Denmark, October 14-18, 2024. IEEE 2024, ISBN 979-8-3503-6503-0
- Vincenzo Pasquadibisceglie, Annalisa Appice, Donato Malerba:
LUPIN: A LLM Approach for Activity Suffix Prediction in Business Process Event Logs. 1-8 - Adrian Rebmann, Fabian David Schmidt, Goran Glavas, Han van der Aa:
Evaluating the Ability of LLMs to Solve Semantics-Aware Process Mining Tasks. 9-16 - Brecht Wuyts, Seppe K. L. M. vanden Broucke, Jochen De Weerdt:
SuTraN: an Encoder-Decoder Transformer for Full-Context-Aware Suffix Prediction of Business Processes. 17-24 - Riccardo Graziosi, Massimiliano Ronzani, Andrei Buliga, Chiara Di Francescomarino, Francesco Folino, Chiara Ghidini, Francesca Meneghello, Luigi Pontieri:
Generating the Traces You Need: A Conditional Generative Model for Process Mining Data. 25-32 - Anandi Karunaratne, Artem Polyvyanyy, Alistair Moffat:
The Role of Log Representativeness in Estimating Generalization in Process Mining. 33-40 - Dominique Sommers, Natalia Sidorova, Boudewijn F. van Dongen:
Assessing Process Mining Techniques: a Ground Truth Approach. 41-48 - Manal Laghmouch, Benoît Depaire, Mieke Jans:
Towards Full Population Testing in Auditing: How Many Process Deviations Should Be Labeled? 49-56 - Thomas Grisold, Han van der Aa, Sandro Franzoi, Sophie Hartl, Jan Mendling, Jan vom Brocke:
A Context Framework for Sense-making of Process Mining Results. 57-64 - Johnson Zhou, Abel Armas-Cervantes, Zahra Dasht Bozorgi, Ellen Otte, Artem Polyvyanyy:
Discovering Changes in Cell Stability Using Process Mining: A Case Study. 65-72 - Eduardo Goulart Rocha, Sander J. J. Leemans, Wil M. P. van der Aalst:
Stochastic Conformance Checking Based on Expected Subtrace Frequency. 73-80 - Tobias Brockhoff, Merih Seran Uysal, Wil M. P. van der Aalst:
Wasserstein Weight Estimation for Stochastic Petri Nets. 81-88 - Max Schulze, Yorck Zisgen, Moritz Kirschte, Esfandiar Mohammadi, Agnes Koschmider:
Differentially Private Inductive Miner. 89-96 - Lukas Kirchdorfer, Robert Blümel, Timotheus Kampik, Han van der Aa, Heiner Stuckenschmidt:
AgentSimulator: An Agent-based Approach for Data-driven Business Process Simulation. 97-104 - Orlenys López-Pintado, Serhii Murashko, Marlon Dumas:
Discovery and Simulation of Data-Aware Business Processes. 105-112 - Jan Niklas van Detten, Pol Schumacher, Sander J. J. Leemans:
Discovering Compact, Live and Identifier-Sound Object-Centric Process Models. 113-120 - Axel Kjeld Fjelrad Christfort, Andrey Rivkin, Dirk Fahland, Thomas T. Hildebrandt, Tijs Slaats:
Discovery of Object-Centric Declarative Models. 121-128 - Eva L. Klijn, Irina Tentina, Dirk Fahland, Felix Mannhardt:
Decomposing Process Performance based on Actor Behavior. 129-136 - Michel Kunkler, Stefanie Rinderle-Ma:
Online Resource Allocation to Process Tasks Under Uncertain Resource Availabilities. 137-144 - Patrizia Schalk, Adam Burke, Robert Lorenz:
Navigating Complexity: Comparing Complexity Measures With Weyuker's Properties. 145-152 - Clemens Schreiber, Amine Abbad Andaloussi:
Structural Process Variety and Standardization. 153-160 - Simon Rauch, Christian M. M. Frey, Ludwig Zellner, Thomas Seidl:
Process-Aware Bayesian Networks for Sequential Event Log Queries. 161-168
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-12-23 19:16 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: