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Gyunam Park
Gyunam Park
PADS (chair of Process and Data Science), Computer Science, RWTH-Aachen University
在 pads.rwth-aachen.de 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
OCEL: A Standard for Object-Centric Event Logs
AF Ghahfarokhi, G Park, A Berti, WMP van der Aalst
European Conference on Advances in Databases and Information Systems, 169-175, 2021
1032021
Predicting performances in business processes using deep neural networks
G Park, M Song
Decision Support Systems 129, 113191, 2020
692020
Prediction-based Resource Allocation using LSTM and minimum cost and maximum flow algorithm
G Park, M Song
2019 International Conference on Process Mining (ICPM), 121-128, 2019
522019
Realizing A Digital Twin of An Organization Using Action-oriented Process Mining
G Park, WMP Van Der Aalst
2021 3rd International Conference on Process Mining (ICPM), 104-111, 2021
392021
A framework for extracting and encoding features from object-centric event data
JN Adams, G Park, S Levich, D Schuster, WMP van der Aalst
International Conference on Service-Oriented Computing, 36-53, 2022
272022
An Event Data Extraction Approach from SAP ERP for Process Mining
A Berti, G Park, M Rafiei, WMP van der Aalst
International Conference on Process Mining, 255-267, 2022
232022
Action-oriented process mining: bridging the gap between insights and actions
G Park, WMP van der Aalst
Progress in Artificial Intelligence, 1-22, 2022
202022
OPerA: Object-Centric Performance Analysis
G Park, JN Adams, WMP van der Aalst
International Conference on Conceptual Modeling, 281-292, 2022
202022
A General Framework for Action-Oriented Process Mining
G Park, WMP van der Aalst
International Conference on Business Process Management, 206-218, 2020
202020
From predictive to prescriptive process monitoring: Recommending the next best actions instead of calculating the next most likely events.
S Weinzierl, S Zilker, M Stierle, M Matzner, G Park
Wirtschaftsinformatik (Zentrale Tracks), 364-368, 2020
182020
Ocel standard
AF Ghahfarokhi, G Park, A Berti, W van der Aalst
Process and Data Science Group, RWTH Aachen University, techreport 1, 2020
172020
ocpa: A Python library for object-centric process analysis
JN Adams, G Park, WMP van der Aalst
Software Impacts 14, 100438, 2022
152022
Monitoring constraints in business processes using object-centric constraint graphs
G Park, WMP van der Aalst
Process Mining Workshops: ICPM 2022 International Workshops, Bozen-Bolzano …, 2023
112023
Towards Reliable Business Process Simulation: A Framework to Integrate ERP Systems
G Park, WMP van der Aalst
Enterprise, Business-Process and Information Systems Modeling, 112-127, 2021
102021
Discovery of Resource-Oriented Transition Systems for Yield Enhancement in Semiconductor Manufacturing
M Cho, G Park, M Song, J Lee, B Lee, E Kum
IEEE Transactions on Semiconductor Manufacturing 34 (1), 17-24, 2020
102020
A generic approach to extract object-centric event data from databases supporting SAP ERP
A Berti, G Park, M Rafiei, WMP van der Aalst
Journal of Intelligent Information Systems 61 (3), 835-857, 2023
72023
Performance-preserving event log sampling for predictive monitoring
M Fani Sani, M Vazifehdoostirani, G Park, M Pegoraro, SJ van Zelst, ...
Journal of Intelligent Information Systems 61 (1), 53-82, 2023
72023
A Scalable Database for the Storage of Object-Centric Event Logs
A Berti, AF Ghahfarokhi, G Park, WMP van der Aalst
arXiv preprint arXiv:2202.05639, 2022
72022
Analyzing Process-Aware Information System Updates Using Digital Twins of Organizations
G Park, M Comuzzi, WMP van der Aalst
International Conference on Research Challenges in Information Science, 159-176, 2022
72022
Detecting Context-Aware Deviations in Process Executions
G Park, JV Benzin, WMP van der Aalst
International Conference on Business Process Management, 190-206, 2022
62022
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