437 citations · 604 across the 13 of their papers we have counts for
13 papers
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,…
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…
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…
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…
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…
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…
Large Language Models can accomplish Business Process Management Tasks
Michael Grohs, Luka Abb, Nourhan Elsayed +1
Business Process Management (BPM) aims to improve organizational activities and their outcomes by managing the underlying processes. To achieve this, it is often necessary to consi…
Process Mining Meets Visual Analytics: The Case of Conformance Checking
Jana-Rebecca Rehse, Luise Pufahl, Michael Grohs +1
Conformance checking is a major function of process mining, which allows organizations to identify and alleviate potential deviations from the intended process behavior. To fully l…
SAP Signavio Academic Models: A Large Process Model Dataset
Diana Sola, Christian Warmuth, Bernhard Schäfer +3
In this paper, we introduce the SAP Signavio Academic Models (SAP-SAM) dataset, a collection of hundreds of thousands of business models, mainly process models in BPMN notation. Th…
A Reference Data Model for Process-Related User Interaction Logs
Luka Abb, Jana-Rebecca Rehse
User interaction (UI) logs are high-resolution event logs that record low-level activities performed by a user during the execution of a task in an information system. Each event i…
AI-Augmented Business Process Management Systems: A Research Manifesto
Marlon Dumas, Fabiana Fournier, Lior Limonad +11
AI-Augmented Business Process Management Systems (ABPMSs) are an emerging class of process-aware information systems, empowered by trustworthy AI technology. An ABPMS enhances the…
XES Tensorflow - Process Prediction using the Tensorflow Deep-Learning Framework
Joerg Evermann, Jana-Rebecca Rehse, Peter Fettke
Predicting the next activity of a running process is an important aspect of process management. Recently, artificial neural networks, so called deep-learning approaches, have been…
Predicting Process Behaviour using Deep Learning
Joerg Evermann, Jana-Rebecca Rehse, Peter Fettke
Predicting business process behaviour is an important aspect of business process management. Motivated by research in natural language processing, this paper describes an applicati…