activity
20152025
most citedRecent Advances in Data-Driven Business Process Management

3 citations · 9 across the 5 of their papers we have counts for

collaborators

6 papers

cs.SE2025

Executing Discrete/Continuous Declarative Process Specifications via Complex Event Processing

Leo Poss, Stefan Schönig, Fabrizio Maria Maggi

Traditional Business Process Management (BPM) focuses on discrete events and fails to incorporate critical continuous sensor data in cyber-physical environments. Hybrid declarative…

cs.DB2024★ 3 cited

Recent Advances in Data-Driven Business Process Management

Lars Ackermann, Martin Käppel, Laura Marcus +21

The rapid development of cutting-edge technologies, the increasing volume of data and also the availability and processability of new types of data sources has led to a paradigm sh…

cs.CR2023★ 1 cited

Market Research on IIoT Standard Compliance Monitoring Providers and deriving Attributes for IIoT Compliance Monitoring

Daniel Oberhofer, Markus Hornsteiner, Stefan Schönig

Adapting security architectures to common standards like IEC 62443 or ISO 27000 in the Industrial Internet of Things (IIoT) involves complex processes and compliance reports. Autom…

cs.AI2021

Evaluating Predictive Business Process Monitoring Approaches on Small Event Logs

Martin Käppel, Stefan Jablonski, Stefan Schönig

Predictive business process monitoring is concerned with the prediction how a running process instance will unfold up to its completion at runtime. Most of the proposed approaches…

cs.SE2016★ 2 cited

Inter-Paradigm Translation of Process Models using Simulation and Mining

Lars Ackermann, Stefan Schönig, Stefan Jablonski

Process modeling is usually done using imperative modeling languages like BPMN or EPCs. In order to cope with the complexity of human-centric and flexible business processes severa…

cs.DB2015★ 3 cited

SQL Queries for Declarative Process Mining on Event Logs of Relational Databases

Stefan Schönig

Flexible business processes can often be modelled more easily using a declarative rather than a procedural modelling approach. Process mining aims at automating the discovery of bu…