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20222025
most citedDetecting Context-Aware Deviations in Process Executions

10 citations · 25 across the 9 of their papers we have counts for

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5 papers · 1 filter

cs.AI2025

Synchronizing Process Model and Event Abstraction for Grounded Process Intelligence (Extended Version)

Janik-Vasily Benzin, Gyunam Park, Stefanie Rinderle-Ma

Model abstraction (MA) and event abstraction (EA) are means to reduce complexity of (discovered) models and event data. Imagine a process intelligence project that aims to analyze…

cs.AI2024

INEXA: Interactive and Explainable Process Model Abstraction Through Object-Centric Process Mining

Janik-Vasily Benzin, Gyunam Park, Juergen Mangler +1

Process events are recorded by multiple information systems at different granularity levels. Based on the resulting event logs, process models are discovered at different granulari…

cs.AI2023

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…

cs.AI2023★ 5 cited

A Survey on Event Prediction Methods from a Systems Perspective: Bringing Together Disparate Research Areas

Janik-Vasily Benzin, Stefanie Rinderle-Ma

Event prediction is the ability of anticipating future events, i.e., future real-world occurrences, and aims to support the user in deciding on actions that change future events to…

cs.AI2022★ 10 cited

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…