Publications

Super Variants
Jan Niklas Adams, Emilie Hastrup-Kiil, Gyunam Park, Wil M. P. van der Aalst
Super Variants
Conformance Checking and Performance Analysis Using Object-Centric Directly-Follows Graphs
Gyunam Park, Jan Niklas Adams, Wil M. P. van der Aalst
Conformance Checking and Performance Analysis Using Object-Centric Directly-Follows Graphs
Unlocking learner engagement and performance - A multidimensional approach to mapping learners to learning cohorts
Learning analytics, located at the intersection of learning science, data science, and computer science, aims to leverage educational …
Hyomin Kim, Gyunam Park, Minsu Cho
DOI URL
Unlocking learner engagement and performance - A multidimensional approach to mapping learners to learning cohorts
Improving Predictive Process Monitoring Using Object-Centric Process Mining
Jan Niklas Adams, Gyunam Park, Wil M. P. van der Aalst
URL
Improving Predictive Process Monitoring Using Object-Centric Process Mining
Overstock Problems in a Purchase-to-Pay Process: An Object-CentricProcess Mining Case Study
Dina Kretzschmann, Gyunam Park, Alessandro Berti, Wil M. P. van der Aalst
PDF DOI
Leveraging machine learning for automatic topic discovery and forecasting of process mining research: A literature review
Process mining is a relatively new discipline that focuses on gaining process-centric knowledge from event logs collected by enterprise …
Gyunam Park, Minsu Cho, Jiyoon Lee
PDF DOI
Incorporating Behavioral Recommendations Mined from Event Logs into AI Planning
Gyunam Park, Majid Rafiei, Hayyan Helal, Gerhard Lakemeyer, Wil M. P. van der Aalst
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
Cite DOI URL
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
PDF Cite DOI
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
PDF Cite DOI URL
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
PDF Cite DOI
Monitoring Constraints in Business Processes Using Object-Centric Constraint Graphs
Gyunam Park, Wil M. P. van der Aalst
PDF Cite DOI URL
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
PDF Cite
Pattern-based action engine: Generating process management actionsusing temporal patterns of process-centric problems
Gyunam Park, Daniel Schuster, Wil M. P. van der Aalst
PDF DOI
Extracting Rules from Event Data for Study Planning
Majid Rafiei, Duygu Bayrak, Mahsa Pourbafrani, Gyunam Park, Hayyan Helal, Gerhard Lakemeyer, Wil M. P. van der Aalst
PDF DOI
Checking Constraints for Object-Centric Process Executions
Tian Li, Gyunam Park, Wil M. P. van der Aalst
PDF DOI
Analyzing an After-Sales Service Process Using Object-Centric ProcessMining: A Case Study
Gyunam Park, Sevde Aydin, Cüneyt Ugur, Wil M. P. van der Aalst
PDF DOI
ocpa: A Python library for object-centric process analysis
Jan Niklas Adams, Gyunam Park, Wil M. P. van der Aalst
PDF Cite DOI URL
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
PDF Cite DOI URL
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
PDF Cite DOI URL
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
PDF Cite DOI
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
Cite DOI URL
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
PDF Cite DOI URL
OPerA: Object-Centric Performance Analysis
Monitoring Constraints in Business Processes Using Object-CentricConstraint Graphs
Gyunam Park, Wil M. P. van der Aalst
PDF DOI
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
PDF Cite DOI URL
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
PDF DOI
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
PDF DOI
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
PDF DOI
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
PDF DOI
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
PDF DOI
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
PDF DOI
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
PDF DOI
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
Cite URL
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
PDF DOI
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
PDF DOI
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
PDF DOI
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
PDF DOI
Prediction-based Resource Allocation using LSTM and Minimum Cost and Maximum Flow Algorithm