Publications

Preserving Complex Object-Centric Graph Structures to Improve Machine Learning Tasks in Process Mining
Interactions of multiple processes and different objects can be captured using object-centric event data. Object-centric event data …
Jan Niklas Adams, Gyunam Park, Wil M. P. van der Aalst
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Preserving Complex Object-Centric Graph Structures to Improve Machine Learning Tasks in Process Mining
A Generic Approach to Extract Object-Centric Event Data from Databases Supporting SAP ERP
Alessandro Berti, Gyunam Park, Majid Rafiei, Wil MP van der Aalst
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A Generic Approach to Extract Object-Centric Event Data from Databases Supporting SAP ERP
Optimizing Resource Allocation Based on Predictive Process Monitoring
Gyunam Park, Minseok Song
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Optimizing Resource Allocation Based on Predictive Process Monitoring
Performance-preserving event log sampling for predictive monitoring
Mohammadreza Fani Sani, Mozhgan Vazifehdoostirani, Gyunam Park, Marco Pegoraro, Sebastiaan J van Zelst, Wil MP van der Aalst
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Monitoring Constraints in Business Processes Using Object-Centric Constraint Graphs
Gyunam Park, Wil M. P. van der Aalst
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Monitoring Constraints in Business Processes Using Object-Centric Constraint Graphs
Interactive Process Identification and Selection from SAP ERP
Julian Weber, Gyunam Park, Majid Rafiei, Wil M. P. van der Aalst
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ocpa: A Python library for object-centric process analysis
Jan Niklas Adams, Gyunam Park, Wil M. P. van der Aalst
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ocpa: A Python library for object-centric process analysis
Explainable Predictive Decision Mining for Operational Support
Gyunam Park, Aaron Küsters, Mara Tews, Cameron Pitsch, Jonathan Schneider, Wil M. P. van der Aalst
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Explainable Predictive Decision Mining for Operational Support
Detecting Context-Aware Deviations in Process Executions
Gyunam Park, Janik-Vasily Benzin, Wil M. P. van der Aalst
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Detecting Context-Aware Deviations in Process Executions
Action-Oriented Process Mining: Bridging the Gap Between Insights and Actions
Gyunam Park, Wil MP van der Aalst
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Action-Oriented Process Mining: Bridging the Gap Between Insights and Actions
Analyzing Process-Aware Information System Updates Using Digital Twins of Organizations
Gyunam Park, Marco Comuzzi, Wil M. P. van der Aalst
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Analyzing Process-Aware Information System Updates Using Digital Twins of Organizations
OPerA: Object-Centric Performance Analysis
Gyunam Park, Jan Niklas Adams, Wil M. P. van der Aalst
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OPerA: Object-Centric Performance Analysis
A Framework for Extracting and Encoding Features from Object-Centric Event Data
Jan Niklas Adams, Gyunam Park, Sergej Levich, Daniel Schuster, Wil M. P. van der Aalst
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A Framework for Extracting and Encoding Features from Object-Centric Event Data
Event Log Sampling for Predictive Monitoring
Predictive process monitoring is a subfield of process mining that aims to estimate case or event features for running process …
Mohammadreza Fani Sani, Mozhgan Vazifehdoostirani, Gyunam Park, Marco Pegoraro, Sebastiaan J. van Zelst, and Wil M.P. van der Aalst
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Event Log Sampling for Predictive Monitoring
Realizing A Digital Twin of An Organization Using Action-oriented Process Mining
A Digital Twin of an Organization (DTO) is a mirrored representation of an organization, aiming to improve the business process of the …
Gyunam Park, Wil M.P. van der Aalst
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Realizing A Digital Twin of An Organization Using Action-oriented Process Mining
An Event Data Extraction Approach from SAP ERP for Process Mining
The extraction, transformation, and loading of event logs from information systems is the first and the most expensive step in process …
Alessandro Berti, Gyunam Park, Majid Rafiei, and Wil van der Aalst
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An Event Data Extraction Approach from SAP ERP for Process Mining
Discovery of Resource-Oriented Transition Systems for Yield Enhancement in Semiconductor Manufacturing
In semiconductor manufacturing, data-driven methodologies have enabled the resolution of various issues, particularly yield management …
Minsu Cho, Gyunam Park, Minseok Song, Jinyoun Lee, Byeongeon Lee, Euiseok Kum
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Discovery of Resource-Oriented Transition Systems for Yield Enhancement in Semiconductor Manufacturing
Towards Reliable Business Process Simulation: A Framework to Integrate ERP Systems
A digital twin of an organization (DTO) is a digital replication of an organization used to analyze weaknesses in business processes …
Gyunam Park, Wil M.P. van der Aalst
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Towards Reliable Business Process Simulation: A Framework to Integrate ERP Systems
OCEL: A Standard for Object-Centric Event Logs
The application of process mining techniques to real-life information systems is often challenging. Considering a Purchase to Pay (P2P) …
Anahita Farhang Ghahfarokhi, Gyunam Park, Alessandro Berti, Wil M.P. van der Aalst
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Quality-Aware Resource Model Discovery
Context-aware process mining aims at extending a contemporary approach with process contexts for realistic process modeling. Regarding …
Minsu Cho, Gyunam Park, Minseok Song, Jinyoun Lee, Euiseok Kum
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Quality-Aware Resource Model Discovery
A Scalable Database for the Storage of Object-Centric Event Logs
Alessandro Berti, Anahita Farhang Ghahfarokhi, Gyunam Park, Wil M. P. van der Aalst
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A General Framework for Action-Oriented Process Mining
Process mining provides techniques to extract process-centric knowledge from event data available in information systems. These …
Gyunam Park, Wil M.P. van der Aalst
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A General Framework for Action-Oriented Process Mining
From predictive to prescriptive process monitoring: Recommending the next best actions instead of calculating the next most likely events
Predictive business process monitoring (PBPM) deals with predicting a process’s future behavior based on historical event logs to …
Sven Weinzierl, Sandra Zilker, Matthias Stierle, Gyunam Park, Martin Matzner
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Predicting performances in business processes using deep neural networks
Online operational support is gaining increasing interest due to the availability of real-time data and sufficient computing power, …
Gyunam Park, Minseok Song
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Predicting performances in business processes using deep neural networks
Prediction-based Resource Allocation using LSTM and Minimum Cost and Maximum Flow Algorithm
Predictive business process monitoring aims at providing the predictions about running instances by analyzing logs of completed cases …
Gyunam Park, Minseok Song
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Prediction-based Resource Allocation using LSTM and Minimum Cost and Maximum Flow Algorithm