13 citations · 60 across the 16 of their papers we have counts for
8 papers · 1 filter
Unlocking Non-Block-Structured Decisions: Inductive Mining with Choice Graphs
Humam Kourani, Gyunam Park, Wil M. P. van der Aalst
Process discovery aims to automatically derive process models from event logs, enabling organizations to analyze and improve their operational processes. Inductive mining algorithm…
Analyzing An After-Sales Service Process Using Object-Centric Process Mining: A Case Study
Gyunam Park, Sevde Aydin, Cuneyt Ugur +1
Process mining, a technique turning event data into business process insights, has traditionally operated on the assumption that each event corresponds to a singular case or object…
Preventing Object-centric Discovery of Unsound Process Models for Object Interactions with Loops in Collaborative Systems: Extended Version
Janik-Vasily Benzin, Gyunam Park, Stefanie Rinderle-Ma
Object-centric process discovery (OCPD) constitutes a paradigm shift in process mining. Instead of assuming a single case notion present in the event log, OCPD can handle events wi…
Explainable Predictive Decision Mining for Operational Support
Gyunam Park, Aaron Küsters, Mara Tews +3
Several decision points exist in business processes (e.g., whether a purchase order needs a manager's approval or not), and different decisions are made for different process insta…
Monitoring Constraints in Business Processes Using Object-Centric Constraint Graphs
Gyunam Park, Wil. M. P. van der Aalst
Constraint monitoring aims to monitor the violation of constraints in business processes, e.g., an invoice should be cleared within 48 hours after the corresponding goods receipt,…
Detecting Context-Aware Deviations in Process Executions
Gyunam Park, Janik-Vasily Benzin, Wil M. P. van der Aalst
A deviation detection aims to detect deviating process instances, e.g., patients in the healthcare process and products in the manufacturing process. A business process of an organ…