activity
20162025
most citedAI-Augmented Business Process Management Systems: A Research Manifesto

145 citations · 159 across the 11 of their papers we have counts for

collaborators

13 papers

cs.AI2025

Remaining Time Prediction in Outbound Warehouse Processes: A Case Study (Short Paper)

Erik Penther, Michael Grohs, Jana-Rebecca Rehse

Predictive process monitoring is a sub-domain of process mining which aims to forecast the future of ongoing process executions. One common prediction target is the remaining time,…

cs.SE2025

A Task Taxonomy for Conformance Checking

Jana-Rebecca Rehse, Michael Grohs, Finn Klessascheck +3

Conformance checking is a sub-discipline of process mining, which compares observed process traces with a process model to analyze whether the process execution conforms with or de…

cs.SE2025

A Procedural Framework for Assessing the Desirability of Process Deviations

Michael Grohs, Nadine Cordes, Jana-Rebecca Rehse

Conformance checking techniques help process analysts to identify where and how process executions deviate from a process model. However, they cannot determine the desirability of…

cs.LG2025

Detecting Undesired Process Behavior by Means of Retrieval Augmented Generation

Michael Grohs, Adrian Rebmann, Jana-Rebecca Rehse

Conformance checking techniques detect undesired process behavior by comparing process executions that are recorded in event logs to desired behavior that is captured in a dedicate…

cs.SE2025

Identifying Process Improvement Opportunities through Process Execution Benchmarking

Luka Abb, Majid Rafiei, Timotheus Kampik +1

Benchmarking functionalities in current commercial process mining tools allow organizations to contextualize their process performance through high-level performance indicators, su…

cs.LG2023

A Discussion on Generalization in Next-Activity Prediction

Luka Abb, Peter Pfeiffer, Peter Fettke +1

Next activity prediction aims to forecast the future behavior of running process instances. Recent publications in this field predominantly employ deep learning techniques and eval…