10 citations · 25 across the 9 of their papers we have counts for
9 papers
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…
From Internet of Things Data to Business Processes: Challenges and a Framework
Juergen Mangler, Ronny Seiger, Janik-Vasily Benzin +12
The IoT and Business Process Management (BPM) communities co-exist in many shared application domains, such as manufacturing and healthcare. The IoT community has a strong focus on…
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…
Collaboration Miner: Discovering Collaboration Petri Nets (Extended Version)
Janik-Vasily Benzin, Stefanie Rinderle-Ma
Most existing process discovery techniques aim to mine models of process orchestrations that represent behavior of cases within one business process. Collaboration process discover…
Petri Net Classes for Collaboration Mining: Assessment and Design Guidelines
Janik-Vasily Benzin, Stefanie Rinderle-Ma
Collaboration mining develops discovery, conformance checking, and enhancement techniques for collaboration processes. The collaboration process model is key to represent the disco…
Conversational Process Modeling: Can Generative AI Empower Domain Experts in Creating and Redesigning Process Models?
Nataliia Klievtsova, Janik-Vasily Benzin, Timotheus Kampik +2
AI-driven chatbots such as ChatGPT have caused a tremendous hype lately. For BPM applications, several applications for AI-driven chatbots have been identified to be promising to g…
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…
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…
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…