R.H. Bemthuis MSc (Rob)



Engineering & Materials Science
Edge Computing
Fog Computing
Internet Of Things
Enterprise Architecture
Physics & Astronomy
Resources Management


Bemthuis, R. H., Govers, R., & Lazarova-Molnar, S. (2024). Using Process Mining for Face Validity Assessment in Agent-Based Simulation Models: An Exploratory Case Study. In M. Sellami, W. Gaaloul, M.-E. Vidal, B. van Dongen, & H. Panetto (Eds.), Cooperative Information Systems: 29th International Conference, CoopIS 2023, Groningen, The Netherlands, October 30–November 3, 2023, Proceedings (pp. 311-326). (Lecture Notes in Computer Science; Vol. 14353). Springer Nature. https://doi.org/10.1007/978-3-031-46846-9_17
Bemthuis, R. H., & Lazarova-Molnar, S. (2023). An Approach for Face Validity Assessment of Agent-Based Simulation Models Through Outlier Detection with Process Mining. In H. A. Proper, L. Pufahl, D. Karastoyanova, M. van Sinderen, & J. Moreira (Eds.), Enterprise Design, Operations, and Computing: 27th International Conference, EDOC 2023, Groningen, The Netherlands, October 30 – November 3, 2023, Proceedings (pp. 134-151). (Lecture Notes in Computer Science; Vol. 14367). Springer Nature. https://doi.org/10.1007/978-3-031-46587-1_8
Maneschijn, D. G. J. C. , Bemthuis, R. H., Arachchige, J. J. , Bukhsh, F. A. , & Iacob, M. E. (2023). Balancing Simplicity and Complexity in Modeling Mined Business Processes: A User Perspective. In J. Filipe, M. Śmiałek, A. Brodsky, & S. Hammoudi (Eds.), Enterprise Information Systems. ICEIS 2022 (pp. 3-21). (Lecture Notes in Business Information Processing; Vol. 487). Springer Nature. https://doi.org/10.1007/978-3-031-39386-0_1
Piest, J. P. S. , Bemthuis, R. H., Cutinha, J. A., Arachchige, J. J. , & Bukhsh, F. A. (2023). A Method for Bottleneck Detection, Prediction, and Recommendation Using Process Mining Techniques. In P. Samarati, S. D. C. D. Vimercati, M. van Sinderen, & F. Wijnhoven (Eds.), E-Business and Telecommunications: 18th International Conference on E-Business and Telecommunications, ICETE 2021, Virtual Event, July 6–9, 2021, Revised Selected Papers (pp. 118-136). (Communications in Computer and Information Science (CCIS); Vol. 1795). Springer Nature. https://doi.org/10.1007/978-3-031-36840-0_7
Bemthuis, R. H., & Lazarova-Molnar, S. (2022). Discovering Agent Models using Process Mining: Initial Approach and a Case Study. In 2022 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom) (pp. 163-172). IEEE. https://doi.org/10.1109/ISPA-BDCloud-SocialCom-SustainCom57177.2022.00028
Maneschijn, D. G. J. C. , Bemthuis, R. H. , Bukhsh, F. A. , & Iacob, M.-E. (2022). A Methodology for Aligning Process Model Abstraction Levels and Stakeholder Needs. In J. Filipe, M. Smialek, A. Brodsky, & S. Hammoudi (Eds.), Proceedings of the 24th International Conference on Enterprise Information Systems (Vol. 1, pp. 137-147). (International Conference on Enterprise Information Systems, ICEIS - Proceedings; Vol. 1). SCITEPRESS. https://doi.org/10.5220/0011029600003179
Bemthuis, R. H., van Slooten, N., Arachchige, J. , Piest, J. , & Bukhsh, F. (2021). A Classification of Process Mining Bottleneck Analysis Techniques for Operational Support. In F. Wijnhoven, & M. van Sinderen (Eds.), Proceedings of the 18th International Conference on e-Business (ICE-B 2021) (pp. 127-135). SCITEPRESS. https://doi.org/10.5220/0010578601270135

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Universiteit Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling (gebouwnr. 11), kamer 5010
Hallenweg 19
7522NH  Enschede

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Universiteit Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling  5010
Postbus 217
7500 AE Enschede

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