most citedEvent Log Sampling for Predictive Monitoring

11 citations · 12 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI20221 cited

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…

cs.AI2022

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,…

cs.LG202211 cited

Event Log Sampling for Predictive Monitoring

Mohammadreza Fani Sani, Mozhgan Vazifehdoostirani, Gyunam Park +3

Predictive process monitoring is a subfield of process mining that aims to estimate case or event features for running process instances. Such predictions are of significant intere…

cs.DB2022

A Scalable Database for the Storage of Object-Centric Event Logs

Alessandro Berti, Anahita Farhang Ghahfarokhi, Gyunam Park +1

Object-centric process mining provides a set of techniques for the analysis of event data where events are associated to several objects. To store Object-centric Event Logs (OCELs)…

cs.DB2021

An Event Data Extraction Approach from SAP ERP for Process Mining

Alessandro Berti, Gyunam Park, Majid Rafiei +1

The extraction, transformation, and loading of event logs from information systems is the first and the most expensive step in process mining. In particular, extracting event logs…