49 citations · 51 across the 12 of their papers we have counts for
5 papers · 1 filter
ERP Event Logs: A Canonical Form for KPI Time-Series Extraction and Characterization
Sherri Hadian, Adrian Rebmann, Atacan Korkmaz +2
Enterprise resource planning (ERP) systems record operations as transactions spread across hundreds of normalized relational tables. Extracting an operational key performance indic…
Bridging Imperative Process Models and Process Data Queries-Translation and Relaxation
Abdur Rehman Anwar Qureshi, Adrian Rebmann, Timotheus Kampik +2
Business process management is increasingly practiced using data-driven approaches. Still, classical imperative process models, which are typically formalized using Petri nets, are…
On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks
Adrian Rebmann, Fabian David Schmidt, Goran Glavaš +1
Large language models (LLMs) have shown to be valuable tools for tackling process mining tasks. Existing studies report on their capability to support various data-driven process a…
From OCEL to DOCEL -- Datasets and Automated Transformation
Alexandre Goossens, Adrian Rebmann, Johannes De Smedt +2
Object-centric event data represent processes from the point of view of all the involved object types. This perspective has gained interest in recent years as it supports the analy…
GECCO: Constraint-driven Abstraction of Low-level Event Logs
Adrian Rebmann, Matthias Weidlich, Han van der Aa
Process mining enables the analysis of complex systems using event data recorded during the execution of processes. Specifically, models of these processes can be discovered from e…