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ORCIDGyunam Park
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2020 – today
- 2024
[b1]Gyunam Park:
Action-oriented process mining. RWTH Aachen University, Germany, 2024- [j9]Gyunam Park
, Minsu Cho, Jiyoon Lee:
Leveraging machine learning for automatic topic discovery and forecasting of process mining research: A literature review. Expert Syst. Appl. 239: 122435 (2024) - [j8]Gyunam Park, Yaejin Lee, Minsu Cho:
Enhancing healthcare process analysis through object-centric process mining: Transforming OMOP common data models into object-centric event logs. J. Biomed. Informatics 156: 104682 (2024) - [c22]Jan Niklas Adams, Emilie Hastrup-Kiil, Gyunam Park, Wil M. P. van der Aalst:
Super Variants. BPM 2024: 111-128 - [c21]Gyunam Park, Jan Niklas Adams, Wil M. P. van der Aalst:
Conformance Checking and Performance Analysis Using Object-Centric Directly-Follows Graphs. BPM (Forum) 2024: 179-196 - [c20]Gyunam Park, Majid Rafiei, Hayyan Helal, Gerhard Lakemeyer, Wil M. P. van der Aalst:
Incorporating Behavioral Recommendations Mined from Event Logs into AI Planning. CAiSE Forum 2024: 20-28 - [c19]Dina Kretzschmann, Gyunam Park, Alessandro Berti, Wil M. P. van der Aalst:
Overstock Problems in a Purchase-to-Pay Process: An Object-Centric Process Mining Case Study. CAiSE Workshops 2024: 347-359 - [i16]Alessandro Berti, István Koren, Jan Niklas Adams, Gyunam Park, Benedikt Knopp, Nina Graves, Majid Rafiei, Lukas Liß, Leah Tacke genannt Unterberg, Yisong Zhang, Christopher T. Schwanen, Marco Pegoraro, Wil M. P. van der Aalst:
OCEL (Object-Centric Event Log) 2.0 Specification. CoRR abs/2403.01975 (2024) - [i15]Janik-Vasily Benzin, Gyunam Park, Juergen Mangler, Stefanie Rinderle-Ma:
INEXA: Interactive and Explainable Process Model Abstraction Through Object-Centric Process Mining. CoRR abs/2403.18659 (2024) - 2023
- [j7]Gyunam Park, Minseok Song:
Optimizing Resource Allocation Based on Predictive Process Monitoring. IEEE Access 11: 38309-38323 (2023) - [j6]Gyunam Park, Daniel Schuster, Wil M. P. van der Aalst:
Pattern-based action engine: Generating process management actions using temporal patterns of process-centric problems. Comput. Ind. 153: 104020 (2023) - [j5]Jan Niklas Adams, Gyunam Park, Wil M. P. van der Aalst:
Preserving complex object-centric graph structures to improve machine learning tasks in process mining. Eng. Appl. Artif. Intell. 125: 106764 (2023) - [j4]Mohammadreza Fani Sani, Mozhgan Vazifehdoostirani, Gyunam Park, Marco Pegoraro, Sebastiaan J. van Zelst, Wil M. P. van der Aalst:
Performance-preserving event log sampling for predictive monitoring. J. Intell. Inf. Syst. 61(1): 53-82 (2023) - [j3]Alessandro Berti, Gyunam Park, Majid Rafiei, Wil M. P. van der Aalst:
A generic approach to extract object-centric event data from databases supporting SAP ERP. J. Intell. Inf. Syst. 61(3): 835-857 (2023) - [c18]Majid Rafiei, Duygu Bayrak, Mahsa Pourbafrani, Gyunam Park, Hayyan Helal, Gerhard Lakemeyer, Wil M. P. van der Aalst:
Extracting Rules from Event Data for Study Planning. ICPM Workshops 2023: 361-374 - [c17]Tian Li, Gyunam Park, Wil M. P. van der Aalst:
Checking Constraints for Object-Centric Process Executions. ICPM Workshops 2023: 392-405 - [c16]Gyunam Park, Sevde Aydin, Cüneyt Ugur, Wil M. P. van der Aalst:
Analyzing an After-Sales Service Process Using Object-Centric Process Mining: A Case Study. ICPM Workshops 2023: 406-418 - [i14]Mohammadreza Fani Sani, Mozhgan Vazifehdoostirani, Gyunam Park, Marco Pegoraro, Sebastiaan J. van Zelst, Wil M. P. van der Aalst:
Performance-Preserving Event Log Sampling for Predictive Monitoring. CoRR abs/2301.07624 (2023) - [i13]Janik-Vasily Benzin, Gyunam Park, Stefanie Rinderle-Ma:
Preventing Object-centric Discovery of Unsound Process Models for Object Interactions with Loops in Collaborative Systems: Extended Version. CoRR abs/2303.16680 (2023) - [i12]Majid Rafiei, Duygu Bayrak, Mahsa Pourbafrani, Gyunam Park, Hayyan Helal, Gerhard Lakemeyer, Wil M. P. van der Aalst:
Extracting Rules from Event Data for Study Planning. CoRR abs/2310.02735 (2023) - [i11]Gyunam Park, Sevde Aydin, Cuneyt Ugur, Wil M. P. van der Aalst:
Analyzing An After-Sales Service Process Using Object-Centric Process Mining: A Case Study. CoRR abs/2310.10174 (2023) - 2022
- [j2]Jan Niklas Adams, Gyunam Park, Wil M. P. van der Aalst:
ocpa: A Python library for object-centric process analysis. Softw. Impacts 14: 100438 (2022) - [c15]Gyunam Park, Janik-Vasily Benzin, Wil M. P. van der Aalst:
Detecting Context-Aware Deviations in Process Executions. BPM (Forum) 2022: 190-206 - [c14]Gyunam Park, Jan Niklas Adams, Wil M. P. van der Aalst:
OPerA: Object-Centric Performance Analysis. ER 2022: 281-292 - [c13]Julian Weber, Gyunam Park, Majid Rafiei, Wil M. P. van der Aalst:
Interactive Process Identification and Selection from SAP ERP (Extended Abstract). ICPM Doctoral Consortium / Demo 2022: 61-64 - [c12]Gyunam Park, Wil M. P. van der Aalst:
Monitoring Constraints in Business Processes Using Object-Centric Constraint Graphs. ICPM Workshops 2022: 479-492 - [c11]Jan Niklas Adams, Gyunam Park, Sergej Levich, Daniel Schuster, Wil M. P. van der Aalst:
A Framework for Extracting and Encoding Features from Object-Centric Event Data. ICSOC 2022: 36-53 - [c10]Gyunam Park, Aaron Küsters, Mara Tews, Cameron Pitsch, Jonathan Schneider, Wil M. P. van der Aalst:
Explainable Predictive Decision Mining for Operational Support. ICSOC Workshops 2022: 66-79 - [c9]Gyunam Park, Marco Comuzzi, Wil M. P. van der Aalst:
Analyzing Process-Aware Information System Updates Using Digital Twins of Organizations. RCIS 2022: 159-176 - [i10]Alessandro Berti, Anahita Farhang Ghahfarokhi, Gyunam Park, Wil M. P. van der Aalst:
A Scalable Database for the Storage of Object-Centric Event Logs. CoRR abs/2202.05639 (2022) - [i9]Gyunam Park, Marco Comuzzi, Wil M. P. van der Aalst:
Analyzing Process-Aware Information System Updates Using Digital Twins of Organizations. CoRR abs/2203.12969 (2022) - [i8]Mohammadreza Fani Sani, Mozhgan Vazifehdoostirani, Gyunam Park, Marco Pegoraro, Sebastiaan J. van Zelst, Wil M. P. van der Aalst:
Event Log Sampling for Predictive Monitoring. CoRR abs/2204.01470 (2022) - [i7]Gyunam Park, Jan Niklas Adams, Wil M. P. van der Aalst:
OPerA: Object-Centric Performance Analysis. CoRR abs/2204.10662 (2022) - [i6]Gyunam Park, Janik-Vasily Benzin, Wil M. P. van der Aalst:
Detecting Context-Aware Deviations in Process Executions. CoRR abs/2206.05532 (2022) - [i5]Jan Niklas Adams, Gyunam Park, Sergej Levich, Daniel Schuster, Wil M. P. van der Aalst:
A Framework for Extracting and Encoding Features from Object-Centric Event Data. CoRR abs/2209.01219 (2022) - [i4]Gyunam Park, Wil M. P. van der Aalst:
Monitoring Constraints in Business Processes Using Object-Centric Constraint Graphs. CoRR abs/2210.12080 (2022) - [i3]Gyunam Park, Aaron Küsters, Mara Tews, Cameron Pitsch, Jonathan Schneider, Wil M. P. van der Aalst:
Explainable Predictive Decision Mining for Operational Support. CoRR abs/2210.16786 (2022) - [i2]Julian Weber, Alessandro Berti, Gyunam Park, Majid Rafiei, Wil M. P. van der Aalst:
Interactive Process Identification and Selection from SAP ERP. CoRR abs/2212.06514 (2022) - 2021
- [c8]Anahita Farhang Ghahfarokhi, Gyunam Park, Alessandro Berti, Wil M. P. van der Aalst:
OCEL: A Standard for Object-Centric Event Logs. ADBIS (Short Papers) 2021: 169-175 - [c7]Gyunam Park, Wil M. P. van der Aalst:
Towards Reliable Business Process Simulation: A Framework to Integrate ERP Systems. BPMDS/EMMSAD@CAiSE 2021: 112-127 - [c6]Gyunam Park, Wil M. P. van der Aalst:
Realizing A Digital Twin of An Organization Using Action-oriented Process Mining. ICPM 2021: 104-111 - [c5]Mohammadreza Fani Sani, Mozhgan Vazifehdoostirani, Gyunam Park, Marco Pegoraro, Sebastiaan J. van Zelst, Wil M. P. van der Aalst:
Event Log Sampling for Predictive Monitoring. ICPM Workshops 2021: 154-166 - [c4]Alessandro Berti, Gyunam Park, Majid Rafiei, Wil M. P. van der Aalst:
An Event Data Extraction Approach from SAP ERP for Process Mining. ICPM Workshops 2021: 255-267 - [i1]Alessandro Berti, Gyunam Park, Majid Rafiei, Wil M. P. van der Aalst:
An Event Data Extraction Approach from SAP ERP for Process Mining. CoRR abs/2110.03467 (2021) - 2020
- [j1]Gyunam Park, Minseok Song:
Predicting performances in business processes using deep neural networks. Decis. Support Syst. 129 (2020) - [c3]Gyunam Park, Wil M. P. van der Aalst:
A General Framework for Action-Oriented Process Mining. Business Process Management Workshops 2020: 206-218 - [c2]Sven Weinzierl, Sandra Zilker, Matthias Stierle, Martin Matzner, Gyunam Park:
From predictive to prescriptive process monitoring: Recommending the next best actions instead of calculating the next most likely events. Wirtschaftsinformatik (Zentrale Tracks) 2020: 364-368
2010 – 2019
- 2019
- [c1]Gyunam Park, Minseok Song:
Prediction-based Resource Allocation using LSTM and Minimum Cost and Maximum Flow Algorithm. ICPM 2019: 121-128
Coauthor Index
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