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ORCIDJana-Rebecca Rehse
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- affiliation: University of Mannheim, Germany
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2020 – today
- 2025
[j10]Michael Grohs
, Peter Pfeiffer, Jana-Rebecca Rehse:
Proactive conformance checking: An approach for predicting deviations in business processes. Inf. Syst. 127: 102461 (2025)- 2024
- [j9]Luka Abb, Jana-Rebecca Rehse:
Process-related user interaction logs: State of the art, reference model, and object-centric implementation. Inf. Syst. 124: 102386 (2024) - [c43]Luka Abb, Jana-Rebecca Rehse:
Multivariate Anomaly Detection in Object-Centric Event Data. BPM (Forum) 2024: 20-36 - [c42]Michael Grohs, Han van der Aa, Jana-Rebecca Rehse:
Beyond Log and Model Moves in Conformance Checking: Discovering Process-Level Deviation Patterns. BPM 2024: 381-399 - [c41]Luise Pufahl, Michael Grohs, Lisa-Marie Klein, Jana-Rebecca Rehse:
Process Mining Meets Visual Analytics. EMISA 2024 - [c40]Mechthild Pieper, Jana-Rebecca Rehse, Monica Fallon:
Digitally Supported Emotion Regulation A Conceptualization Based on Trace Data Analysis of mHealth Use. ICIS 2024 - [c39]Frederik Hake, Simon Schneider, Nikolaos Theofanopoulos, Camila González, Poey Sie Chuah, Michael Grohs, Jana-Rebecca Rehse:
CauseCheck: A Tool for Simulating Deviations in Event Logs with Known Root Causes. ICPM Doctoral Consortium / Demo 2024 - [e3]Adela del-Río-Ortega, Marco Montali, Stefanie Rinderle-Ma, Hajo A. Reijers, Jan vom Brocke, Mathias Weske, Benoît Depaire, Marta Indulska, Han van der Aa, Weronika T. Adrian, Laura Genga, Sander J. J. Leemans, Katarzyna Gdowska, María Teresa Gómez-López, Jana-Rebecca Rehse, Simone Agostinelli:
Proceedings of the Best Dissertation Award, Doctoral Consortium, and Demonstration & Resources Forum at BPM 2024 co-located with 22nd International Conference on Business Process Management (BPM 2024), Krakow, Poland, September 1st to 6th, 2024. CEUR Workshop Proceedings 3758, CEUR-WS.org 2024 [contents] - 2023
- [j8]Marlon Dumas, Fabiana Fournier, Lior Limonad, Andrea Marrella, Marco Montali, Jana-Rebecca Rehse, Rafael Accorsi, Diego Calvanese, Giuseppe De Giacomo, Dirk Fahland, Avigdor Gal, Marcello La Rosa, Hagen Völzer, Ingo Weber:
AI-augmented Business Process Management Systems: A Research Manifesto. ACM Trans. Manag. Inf. Syst. 14(1): 11:1-11:19 (2023) - [c38]Luka Abb, Peter Pfeiffer, Peter Fettke, Jana-Rebecca Rehse:
A Discussion on Generalization in Next-Activity Prediction. Business Process Management Workshops 2023: 18-30 - [c37]Nourhan Elsayed, Luka Abb, Heike Sander, Jana-Rebecca Rehse:
Automating Computer Software Validation in Regulated Industries with Robotic Process Automation. BPM (Blockchain and RPA Forum) 2023: 135-148 - [c36]Michael Grohs, Luka Abb, Nourhan Elsayed, Jana-Rebecca Rehse:
Large Language Models Can Accomplish Business Process Management Tasks. Business Process Management Workshops 2023: 453-465 - [c35]Jana-Rebecca Rehse, Luise Pufahl, Michael Grohs, Lisa-Marie Klein:
Process Mining Meets Visual Analytics: The Case of Conformance Checking. HICSS 2023: 5452-5461 - [c34]Michael Grohs, Peter Pfeiffer, Jana-Rebecca Rehse:
Business Process Deviation Prediction: Predicting Non-Conforming Process Behavior. ICPM 2023: 113-120 - [e2]Julius Köpke, Orlenys López-Pintado, Ralf Plattfaut, Jana-Rebecca Rehse, Katarzyna Gdowska, Fernanda Gonzalez-Lopez, Jorge Munoz-Gama, Koen Smit, Jan Martijn E. M. van der Werf:
Business Process Management: Blockchain, Robotic Process Automation and Educators Forum - BPM 2023 Blockchain, RPA and Educators Forum, Utrecht, The Netherlands, September 11-15, 2023, Proceedings. Lecture Notes in Business Information Processing 491, Springer 2023, ISBN 978-3-031-43432-7 [contents] - [i8]Michael Grohs, Luka Abb, Nourhan Elsayed, Jana-Rebecca Rehse:
Large Language Models can accomplish Business Process Management Tasks. CoRR abs/2307.09923 (2023) - [i7]Luka Abb, Peter Pfeiffer, Peter Fettke, Jana-Rebecca Rehse:
A Discussion on Generalization in Next-Activity Prediction. CoRR abs/2309.09618 (2023) - 2022
- [c33]Simone Agostinelli, Andrea Marrella, Luka Abb, Jana-Rebecca Rehse:
Mastering Robotic Process Automation with Process Mining. BPM 2022: 47-53 - [c32]Luka Abb, Jana-Rebecca Rehse:
A Reference Data Model for Process-Related User Interaction Logs. BPM 2022: 57-74 - [c31]Adrian Rebmann, Jana-Rebecca Rehse, Han van der Aa:
Uncovering Object-Centric Data in Classical Event Logs for the Automated Transformation from XES to OCEL. BPM 2022: 379-396 - [c30]Luka Abb, Carsten Bormann, Han van der Aa, Jana-Rebecca Rehse:
Trace Clustering for User Behavior Mining. ECIS 2022 - [c29]Michael Grohs, Jana-Rebecca Rehse:
Attribute-Based Conformance Diagnosis: Correlating Trace Attributes with Process Conformance. ICPM Workshops 2022: 203-215 - [c28]Diana Sola, Christian Warmuth, Bernhard Schäfer, Peyman Badakhshan, Jana-Rebecca Rehse, Timotheus Kampik:
SAP Signavio Academic Models: A Large Process Model Dataset. ICPM Workshops 2022: 453-465 - [i6]Marlon Dumas, Fabiana Fournier, Lior Limonad, Andrea Marrella, Marco Montali, Jana-Rebecca Rehse, Rafael Accorsi, Diego Calvanese, Giuseppe De Giacomo, Dirk Fahland, Avigdor Gal, Marcello La Rosa, Hagen Völzer, Ingo Weber:
Augmented Business Process Management Systems: A Research Manifesto. CoRR abs/2201.12855 (2022) - [i5]Luka Abb, Jana-Rebecca Rehse:
A Reference Data Model for Process-Related User Interaction Logs. CoRR abs/2207.12054 (2022) - [i4]Diana Sola, Christian Warmuth, Bernhard Schäfer, Peyman Badakhshan, Jana-Rebecca Rehse, Timotheus Kampik:
SAP Signavio Academic Models: A Large Process Model Dataset. CoRR abs/2208.12223 (2022) - [i3]Jana-Rebecca Rehse, Luise Pufahl, Michael Grohs, Lisa-Marie Klein:
Process Mining Meets Visual Analytics: The Case of Conformance Checking. CoRR abs/2209.09712 (2022) - 2021
- [j7]Philip Hake, Jana-Rebecca Rehse, Peter Fettke:
Toward Automated Support of Complaint Handling Processes: An Application in the Medical Technology Industry. J. Data Semant. 10(1-2): 41-56 (2021) - [c27]Fareed Zandkarimi, Jonas Rennemeier, Jana-Rebecca Rehse:
Are We Doing Things Right? An Approach to Measure Process Inefficiencies in the Control Flow. BPM (Forum) 2021: 109-125 - [c26]Luise Pufahl, Jana-Rebecca Rehse:
Conformance Checking with Regulations - A Research Agenda. EMISA 2021: 24-29 - [c25]Ralf Laue, Jana-Rebecca Rehse, Thorsten Schoormann:
7. Workshop zum Stand und den Herausforderungen des Geschäftsprozessmanagements. GI-Jahrestagung 2021: 1499-1500 - 2020
- [j6]Stephan Baier, Sebastian Dunzer, Peter Fettke, Constantin Houy, Martin Matzner, Peter Pfeiffer, Jana-Rebecca Rehse, Martin Scheid, Sebastian Stephan, Matthias Stierle, Brian Willems:
The MobIS-Challenge 2019 A Report on the WI-2019-Workshop on Model-Based Compliance in Information Systems. Enterp. Model. Inf. Syst. Archit. Int. J. Concept. Model. 15: 5:1-5:25 (2020) - [c24]Jana-Rebecca Rehse:
Leveraging Artificial Intelligence for Business Process Management (Extended Abstract). BPM (PhD/Demos) 2020: 11-15 - [c23]Adrian Rebmann, Jana-Rebecca Rehse, Mira Pinter, Marius Schnaubelt, Kevin Daun, Peter Fettke:
IoT-Based Activity Recognition for Process Assistance in Human-Robot Disaster Response. BPM (Forum) 2020: 71-87 - [c22]Steffen Schumann, Jana-Rebecca Rehse, Sebastian Baumann, Peter Fettke:
Interactive Process Clustering with t-SNE. BPM (PhD/Demos) 2020: 82-86 - [c21]Michael Fellmann, Ralf Laue, Birger Lantow, Jana-Rebecca Rehse:
Stand, Herausforderungen und Impulse des Geschäftsprozessmanagements. GI-Jahrestagung 2020: 587-589 - [c20]Michael Striewe, Constantin Houy, Jana-Rebecca Rehse, Meike Ullrich, Peter Fettke, Niclas Schaper, Andreas Oberweis:
Towards an Automated Assessment of Graphical (Business Process) Modelling Competences. GI-Jahrestagung 2020: 665-670 - [c19]Fareed Zandkarimi, Jana-Rebecca Rehse, Pouya Soudmand, Hartmut Hoehle:
A Generic Framework for Trace Clustering in Process Mining. ICPM 2020: 177-184 - [c18]Jana-Rebecca Rehse, Michael Striewe, Meike Ullrich:
2. Workshop zur Modellierung in der Hochschullehre (preface) (2nd Workshop on Modeling in Higher Education Teaching). Modellierung (Companion) 2020: 56-57 - [c17]Alexander Berrang, Constantin Houy, Jana-Rebecca Rehse, Peter Fettke:
Prozessorientierte Schulung von Einsatzkräften für robotergestützte Rettungsmissionen der Feuerwehr. Wirtschaftsinformatik (Community Tracks) 2020: 153-167 - [c16]Cai Hussung, Jana-Rebecca Rehse, Constantin Houy, Peter Fettke:
Entwicklung eines Referenzprozessmodells für Rettungseinsätze der Feuerwehr und Anwendung als Grundlage eines Prozessassistenzsystems. Wirtschaftsinformatik (Zentrale Tracks) 2020: 522-537 - [e1]Judith Michael, Dominik Bork, Hans-Georg Fill, Peter Fettke, Dimitris Karagiannis, Julius Köpke, Agnes Koschmider, Heinrich C. Mayr, Jana-Rebecca Rehse, Ulrich Reimer, Michael Striewe, Marina Tropmann-Frick, Meike Ullrich:
Companion Proceedings of Modellierung 2020 Short, Workshop and Tools & Demo Papers co-located with Modellierung 2020, Vienna, Austria, February 19-21, 2020. CEUR Workshop Proceedings 2542, CEUR-WS.org 2020 [contents]
2010 – 2019
- 2019
- [j5]Jana-Rebecca Rehse, Peter Fettke:
A Procedure Model for Situational Reference Model Mining. Enterp. Model. Inf. Syst. Archit. Int. J. Concept. Model. 14: 3:1-3:42 (2019) - [j4]Jana-Rebecca Rehse, Nijat Mehdiyev, Peter Fettke:
Towards Explainable Process Predictions for Industry 4.0 in the DFKI-Smart-Lego-Factory. Künstliche Intell. 33(2): 181-187 (2019) - [c15]Philip Hake, Jana-Rebecca Rehse, Peter Fettke:
Supporting Complaint Management in the Medical Technology Industry by Means of Deep Learning. Business Process Management Workshops 2019: 56-67 - [c14]Christian Willms, Constantin Houy, Jana-Rebecca Rehse, Peter Fettke, Ivana Kruijff-Korbayová:
Team communication processing and process analytics for supporting robot-assisted emergency response. SSRR 2019: 216-221 - [c13]Constantin Houy, Jana-Rebecca Rehse, Martin Scheid, Peter Fettke:
Model-Based Compliance in Information Systems - Foundations, Case Description and Data Set of the MobIS-Challenge for Students and Doctoral Candidates. Wirtschaftsinformatik 2019: 1997-2010 - 2018
- [j3]Jana-Rebecca Rehse, Sharam Dadashnia, Peter Fettke:
Business process management for Industry 4.0 - Three application cases in the DFKI-Smart-Lego-Factory. it Inf. Technol. 60(3): 133-141 (2018) - [c12]Jana-Rebecca Rehse, Peter Fettke:
Process Mining Crimes - A Threat to the Validity of Process Discovery Evaluations. BPM (Forum) 2018: 3-19 - [c11]Jana-Rebecca Rehse, Peter Fettke:
Clustering Business Process Activities for Identifying Reference Model Components. Business Process Management Workshops 2018: 5-17 - 2017
- [j2]Joerg Evermann, Jana-Rebecca Rehse, Peter Fettke:
Predicting process behaviour using deep learning. Decis. Support Syst. 100: 129-140 (2017) - [j1]Jana-Rebecca Rehse, Peter Fettke, Peter Loos:
A graph-theoretic method for the inductive development of reference process models. Softw. Syst. Model. 16(3): 833-873 (2017) - [c10]Jana-Rebecca Rehse, Peter Fettke, Peter Loos:
Process Mining and the Black Swan: An Empirical Analysis of the Influence of Unobserved Behavior on the Quality of Mined Process Models. Business Process Management Workshops 2017: 256-268 - [c9]Johannes Tenschert, Jana-Rebecca Rehse, Peter Fettke, Richard Lenz:
Speech Acts in Actual Processes: Evaluation of Interfaces and Triggers in ITIL. Business Process Management Workshops 2017: 348-360 - [c8]Joerg Evermann, Jana-Rebecca Rehse, Peter Fettke:
XES Tensorflow - Process Prediction using the Tensorflow Deep-Learning Framework. CAiSE-Forum-DC 2017: 41-48 - [c7]Jana-Rebecca Rehse, Peter Fettke:
Towards Situational Reference Model Mining - Main Idea, Procedure Model & Case Study. Wirtschaftsinformatik 2017 - [i2]Joerg Evermann, Jana-Rebecca Rehse, Peter Fettke:
XES Tensorflow - Process Prediction using the Tensorflow Deep-Learning Framework. CoRR abs/1705.01507 (2017) - 2016
- [c6]Jana-Rebecca Rehse, Peter Fettke:
Mining Reference Process Models from Large Instance Data. Business Process Management Workshops 2016: 11-22 - [c5]Joerg Evermann, Jana-Rebecca Rehse, Peter Fettke:
A Deep Learning Approach for Predicting Process Behaviour at Runtime. Business Process Management Workshops 2016: 327-338 - [c4]Joerg Evermann, Jana-Rebecca Rehse, Peter Fettke:
Process Discovery from Event Stream Data in the Cloud - A Scalable, Distributed Implementation of the Flexible Heuristics Miner on the Amazon Kinesis Cloud Infrastructure. CloudCom 2016: 645-652 - [c3]Jana-Rebecca Rehse, Peter Fettke, Peter Loos:
An Execution-Semantic Approach to Inductive Reference Model Development. ECIS 2016: Research Paper 80 - [c2]Jana-Rebecca Rehse, Philip Hake, Peter Fettke, Peter Loos:
Inductive reference model development: recent results and current challenges. GI-Jahrestagung 2016: 739-752 - [i1]Joerg Evermann, Jana-Rebecca Rehse, Peter Fettke:
Predicting Process Behaviour using Deep Learning. CoRR abs/1612.04600 (2016) - 2013
- [c1]Jana-Rebecca Rehse, Peter Fettke, Peter Loos:
Eine Untersuchung der Potentiale automatisierter Abstraktionsansätze für Geschäftsprozessmodelle im Hinblick auf die induktive Entwicklung von Referenzprozessmodellen. Wirtschaftsinformatik 2013: 80
Coauthor Index
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