Kabierski, M., Fahrenkrog-Petersen, S. A., & Weidlich, M. (2021). Privacy-Aware Process Performance Indicators: Framework and Release Mechanisms. Paper presented at the 33rd International Conference, CAiSE 2021, Melbourne, VIC, Australia.

Beitrag in Konferenztagungsband

https://dx.doi.org/10.1007/978-3-030-79382-1_2

Rösel, F., Fahrenkrog-Petersen, S. A., van der Aa, H., & Weidlich, M. (2022). A Distance Measure for Privacy-Preserving Process Mining Based on Feature Learning. Paper presented at the BPM 2021 International Workshops, Rome, Italy.

Beitrag in Konferenztagungsband

https://dx.doi.org/10.1007/978-3-030-94343-1_6

Kabierski, M., Fahrenkrog-Petersen, S. A., Dittmann, G., & Weidlich, M. (2022). PaPPI: Privacy-aware Process Performance Indicators. Paper presented at the Doctoral Consortium and the Tool Demonstration Track of the 4th International Conference on Process Mining, ICPM-D 2022, Bozen, Italien.

Beitrag in Konferenztagungsband

Kirchmann, H., Fahrenkrog-Petersen, S. A., Kabierski, M., van der Aa, H., & Weidlich, M. (2022). Privacy-Preserving Process Mining with PM4Py. Paper presented at the Doctoral Consortium and the Tool Demonstration Track of the 4th International Conference on Process Mining, ICPM-D 2022, Bozen, Italien.

Beitrag in Konferenztagungsband

Elkoumy, G., Fahrenkrog-Petersen, S. A., Fani Sani, M., Koschmider, A., Mannhardt, F., von Voigt, S. N., Rafiei, M., & von Waldthausen, L. (2022). Privacy and Confidentiality in Process Mining: Threats and Research Challenges. ACM Transactions on Management Information Systems, 13(1), 1-17.

Beitrag in wissenschaftlicher Fachzeitschrift

https://dx.doi.org/10.1145/3468877

Fahrenkrog-Petersen, S. A., Tax, N., Teinemaa, I., Dumas, M., de Leoni, M., Maggi, F. M., & Weidlich, M. (2022). Fire now, fire later: alarm-based systems for prescriptive process monitoring. Knowledge and Information Systems, 64, 559-587.

Beitrag in wissenschaftlicher Fachzeitschrift

https://dx.doi.org/10.1007/s10115-021-01633-w

Hildebrant, R., Fahrenkrog-Petersen, S. A., Weidlich, M., & Ren, S. (2023). PMDG: Privacy for Multi-perspective Process Mining Through Data Generalization. Paper presented at the 35th International Conference on Advanced Information Systems Engineering (CAiSE 2023), Zaragoza, Spain.

Beitrag in Konferenztagungsband

https://dx.doi.org/10.1007/978-3-031-34560-9_30