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Gerhard Lakemeyer
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Publications
- 2023
- [c157]Majid Rafiei, Duygu Bayrak, Mahsa Pourbafrani, Gyunam Park, Hayyan Helal, Gerhard Lakemeyer, Wil M. P. van der Aalst:
Extracting Rules from Event Data for Study Planning. ICPM Workshops 2023: 361-374 - [i21]Majid Rafiei, Duygu Bayrak, Mahsa Pourbafrani, Gyunam Park, Hayyan Helal, Gerhard Lakemeyer, Wil M. P. van der Aalst:
Extracting Rules from Event Data for Study Planning. CoRR abs/2310.02735 (2023) - 2022
- [j38]Philipp Brauner, Manuela Dalibor, Matthias Jarke, Ike Kunze, István Koren, Gerhard Lakemeyer, Martin Liebenberg, Judith Michael, Jan Pennekamp, Christoph Quix, Bernhard Rumpe, Wil M. P. van der Aalst, Klaus Wehrle, Andreas Wortmann, Martina Ziefle:
A Computer Science Perspective on Digital Transformation in Production. ACM Trans. Internet Things 3(2): 15:1-15:32 (2022) - [c153]Miriam Wagner, Hayyan Helal, Rene Roepke, Sven Judel, Jens Doveren, Sergej Görzen, Pouya Soudmand, Gerhard Lakemeyer, Ulrik Schroeder, Wil M. P. van der Aalst:
A Combined Approach of Process Mining and Rule-Based AI for Study Planning and Monitoring in Higher Education. ICPM Workshops 2022: 513-525 - [i17]Timo Rohrer, Anahita Farhang Ghahfarokhi, Mohamed Behery, Gerhard Lakemeyer, Wil M. P. van der Aalst:
Predictive Object-Centric Process Monitoring. CoRR abs/2207.10017 (2022) - [i16]Miriam Wagner, Hayyan Helal, Rene Roepke, Sven Judel, Jens Doveren, Sergej Görzen, Pouya Soudmand, Gerhard Lakemeyer, Ulrik Schroeder, Wil M. P. van der Aalst:
A Combined Approach of Process Mining and Rule-based AI for Study Planning and Monitoring in Higher Education. CoRR abs/2211.12190 (2022)
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