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Gyunam Park

Performance-Preserving Event Log Sampling for Predictive Monitoring
Realizing A Digital Twin of An Organization Using Action-oriented Process Mining
An Event Data Extraction Approach from SAP ERP for Process Mining
Discovery of Resource-Oriented Transition Systems for Yield Enhancement in Semiconductor Manufacturing
Towards Reliable Business Process Simulation: A Framework to Integrate ERP Systems
OCEL: A Standard for Object-Centric Event Logs
Quality-Aware Resource Model Discovery
A General Framework for Action-Oriented Process Mining
Action-oriented Process Mining (AOPM) (Technical Manual)
Clustering in a nutshell
Association Mining in a nutshell
Decision Tree in a nutshell
Why is Process Discovery important? What makes it difficult?
Prediction-based recommendation in process mining
From predictive to prescriptive process monitoring: Recommending the next best actions instead of calculating the next most likely events
Hadoop Hands-On (Process Mining with Hadoop)
The (easiest) Hadoop installation - MacOS/Linux
The (easiest) Hadoop installation - Windows
Predicting performances in business processes using deep neural networks
Prediction-based Resource Allocation using Bayesian Neural Networks and Minimum Cost and Maximum Flow Algorithm
Prediction-based Resource Allocation using LSTM and Minimum Cost and Maximum Flow Algorithm

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