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Books and Theses
- 2021
[b1]Wolfgang Kratsch:
Data-driven Management of Interconnected Business Processes : Contributions to Predictive and Prescriptive Process Mining. Bayreuth University, Germany, 2021
Journal Articles
- 2024
- [j9]Andreas Egger
, Arthur H. M. ter Hofstede, Wolfgang Kratsch, Sander J. J. Leemans, Maximilian Röglinger, Moe Thandar Wynn:
Bot log mining: An approach to the integrated analysis of Robotic Process Automation and process mining. Inf. Syst. 126: 102431 (2024) - 2023
- [j8]Iris Beerepoot, Claudio Di Ciccio, Hajo A. Reijers, Stefanie Rinderle-Ma, Wasana Bandara, Andrea Burattin, Diego Calvanese, Tianwa Chen, Izack Cohen, Benoît Depaire, Gemma Di Federico, Marlon Dumas, Christopher G. J. van Dun, Tobias Fehrer, Dominik Andreas Fischer, Avigdor Gal, Marta Indulska, Vatche Isahagian, Christopher Klinkmüller, Wolfgang Kratsch, Henrik Leopold, Amy Van Looy, Hugo A. López, Sanja Lukumbuzya, Jan Mendling, Lara Meyers, Linda Moder, Marco Montali, Vinod Muthusamy, Manfred Reichert, Yara Rizk, Michael Rosemann, Maximilian Röglinger, Shazia Sadiq, Ronny Seiger, Tijs Slaats, Mantas Simkus, Ida Asadi Someh, Barbara Weber, Ingo Weber, Mathias Weske, Francesca Zerbato:
The biggest business process management problems to solve before we die. Comput. Ind. 146: 103837 (2023) - [j7]Christopher G. J. van Dun, Linda Moder, Wolfgang Kratsch, Maximilian Röglinger:
ProcessGAN: Supporting the creation of business process improvement ideas through generative machine learning. Decis. Support Syst. 165: 113880 (2023) - [j6]Christoph Kecht, Andreas Egger, Wolfgang Kratsch, Maximilian Röglinger:
Quantifying chatbots' ability to learn business processes. Inf. Syst. 113: 102176 (2023) - [j5]Pascal Fechner, Fabian König, Wolfgang Kratsch, Jannik Lockl, Maximilian Röglinger:
Near-Infrared Spectroscopy for Bladder Monitoring: A Machine Learning Approach. ACM Trans. Manag. Inf. Syst. 14(2): 16:1-16:23 (2023) - 2022
- [j4]Wolfgang Kratsch, Fabian König, Maximilian Röglinger:
Shedding light on blind spots - Developing a reference architecture to leverage video data for process mining. Decis. Support Syst. 158: 113794 (2022) - 2021
- [j3]Wolfgang Kratsch, Jonas Manderscheid, Maximilian Röglinger, Johannes Seyfried:
Machine Learning in Business Process Monitoring: A Comparison of Deep Learning and Classical Approaches Used for Outcome Prediction. Bus. Inf. Syst. Eng. 63(3): 261-276 (2021) - 2020
- [j2]Robert Andrews, Christopher G. J. van Dun, Moe Thandar Wynn, Wolfgang Kratsch, Maximilian Röglinger, Arthur H. M. ter Hofstede:
Quality-informed semi-automated event log generation for process mining. Decis. Support Syst. 132: 113265 (2020) - 2017
- [j1]Wolfgang Kratsch, Jonas Manderscheid, Daniel Reißner, Maximilian Röglinger:
Data-driven Process Prioritization in Process Networks. Decis. Support Syst. 100: 27-40 (2017)
Conference and Workshop Papers
- 2023
- [c8]Arvid Lepsien, Agnes Koschmider, Wolfgang Kratsch:
Analytics Pipeline for Process Mining on Video Data. BPM (Forum) 2023: 196-213 - 2021
- [c7]Wolfgang Kratsch:
Data-driven Management of Interconnected Business Processes - Contributions to Predictive and Prescriptive Process Mining. BPM (PhD/Demos) 2021: 16-20 - [c6]Maximilian Röglinger, Christopher G. J. van Dun, Tobias Fehrer, Dominik Andreas Fischer, Linda Moder, Wolfgang Kratsch:
Automated Process (Re-)Design. Problems@BPM 2021: 28-33 - [c5]Christoph Kecht, Andreas Egger, Wolfgang Kratsch, Maximilian Röglinger:
Event Log Construction from Customer Service Conversations Using Natural Language Inference. ICPM 2021: 144-151 - 2020
- [c4]Luca Dombetzki, Christoph Kecht, Wolfgang Kratsch, Daniel Rau:
AMARYLLIS: A User-Centric Information System for Automated Privacy Policy Analysis. ECIS 2020 - [c3]Christopher G. J. van Dun, Tobias Fehrer, Wolfgang Kratsch, Nicholas Wolf:
Customers Like It Hot and Fast - Incorporating Customer Effects into the Meal Delivery Process. ECIS 2020 - [c2]Andreas Egger, Arthur H. M. ter Hofstede, Wolfgang Kratsch, Sander J. J. Leemans, Maximilian Röglinger, Moe Thandar Wynn:
Bot Log Mining: Using Logs from Robotic Process Automation for Process Mining. ER 2020: 51-61 - 2019
- [c1]Laura Bitomsky, Johannes Huhn, Wolfgang Kratsch, Maximilian Roeglinger:
Process Meets Project prioritization - a Decision Model for Developing Process Improvement Roadmaps. ECIS 2019
Informal and Other Publications
- 2024
- [i3]Lars Ackermann, Martin Käppel, Laura Marcus, Linda Moder, Sebastian Dunzer, Markus Hornsteiner, Annina Liessmann, Yorck Zisgen, Philip Empl, Lukas-Valentin Herm, Nicolas Neis, Julian Neuberger, Leo Poss, Myriam Schaschek, Sven Weinzierl, Niklas Wördehoff, Stefan Jablonski, Agnes Koschmider, Wolfgang Kratsch, Martin Matzner, Stefanie Rinderle-Ma, Maximilian Röglinger, Stefan Schönig, Axel Winkelmann:
Recent Advances in Data-Driven Business Process Management. CoRR abs/2406.01786 (2024) - [i2]Humam Kourani, Alessandro Berti, Jasmin Henrich, Wolfgang Kratsch, Robin Weidlich, Chiao-Yun Li, Ahmad Arslan, Daniel Schuster, Wil M. P. van der Aalst:
Leveraging Large Language Models for Enhanced Process Model Comprehension. CoRR abs/2408.08892 (2024) - 2020
- [i1]Wolfgang Kratsch, Fabian König, Maximilian Röglinger:
Shedding Light on Blind Spots: Developing a Reference Architecture to Leverage Video Data for Process Mining. CoRR abs/2010.11289 (2020)
Coauthor Index
aka: Maximilian Roeglinger
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