Search Results for author: Janik-Vasily Benzin

Found 6 papers, 2 papers with code

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

no code implementations27 Mar 2024 Janik-Vasily Benzin, Gyunam Park, Juergen Mangler, Stefanie Rinderle-Ma

To enable the exploration of discovered process models at different granularity levels, we propose INEXA, an interactive, explainable process model abstraction method that keeps the link to the event log.

Conversational Process Modeling: Can Generative AI Empower Domain Experts in Creating and Redesigning Process Models?

1 code implementation19 Apr 2023 Nataliia Klievtsova, Janik-Vasily Benzin, Timotheus Kampik, Juergen Mangler, Stefanie Rinderle-Ma

Then a systematic literature review on conversational process modeling is performed, resulting in a taxonomy of application scenarios for conversational process modeling, including paraphrasing and improvement of process descriptions.

Preventing Object-centric Discovery of Unsound Process Models for Object Interactions with Loops in Collaborative Systems: Extended Version

no code implementations29 Mar 2023 Janik-Vasily Benzin, Gyunam Park, Stefanie Rinderle-Ma

Similar to classical process discovery, where we aim for behaviorally sound process models as a result, in OCPD, we aim for soundness of the resulting object-centric Petri nets.

Object

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

no code implementations8 Feb 2023 Janik-Vasily Benzin, Stefanie Rinderle-Ma

The diversity of application domains results in a diverse range of methods that are scattered across various research areas which, in turn, use different terminology for event prediction methods.

Detecting Context-Aware Deviations in Process Executions

1 code implementation11 Jun 2022 Gyunam Park, Janik-Vasily Benzin, Wil M. P. van der Aalst

We have implemented the proposed framework as a web service that can be extended to various contexts and deviation detection methods.

Predictive Compliance Monitoring in Process-Aware Information Systems: State of the Art, Functionalities, Research Directions

no code implementations10 May 2022 Stefanie Rinderle-Ma, Karolin Winter, Janik-Vasily Benzin

Process compliance can be checked during process design time based on verification of process models and at runtime based on monitoring the compliance states of running process instances.

Management Predictive Process Monitoring

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