49 citations · 80 across the 44 of their papers we have counts for
7 papers · 1 filter
Timeline-based Process Discovery
Harleen Kaur, Jan Mendling, Christoffer Rubensson +1
A key concern of automatic process discovery is to provide insights into performance aspects of business processes. Waiting times are of particular importance in this context. For…
Expressive Power and Complexity Results for SIGNAL, an Industry-scale Process Query Language
Timotheus Kampik, Cem Okulmus
With the increased adoption of process mining, there is also a need for practical solutions that work at industry scales. In this context, process querying methods (PQMs) have emer…
Large Process Models: A Vision for Business Process Management in the Age of Generative AI
Timotheus Kampik, Christian Warmuth, Adrian Rebmann +12
The continued success of Large Language Models (LLMs) and other generative artificial intelligence approaches highlights the advantages that large information corpora can have over…
ACROCPoLis: A Descriptive Framework for Making Sense of Fairness
Andrea Aler Tubella, Dimitri Coelho Mollo, Adam Dahlgren Lindström +8
Fairness is central to the ethical and responsible development and use of AI systems, with a large number of frameworks and formal notions of algorithmic fairness being available.…
Reinforcement Learning-supported AB Testing of Business Process Improvements: An Industry Perspective
Aaron Friedrich Kurz, Timotheus Kampik, Luise Pufahl +1
In order to better facilitate the need for continuous business process improvement, the application of DevOps principles has been proposed. In particular, the AB-BPM methodology ap…
SIGNAL -- The SAP Signavio Analytics Query Language
Timotheus Kampik, Andre Lücke, Jörn Horstmann +2
This paper provides an introduction to and discussion of SIGNAL, an industry-scale process data querying language and engine for large-scale cloud-based systems that is developed b…