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| [12] | SpeciAL4PM: Species Analysis of Event Logs for Process Mining (Martin Kabierski, Christian Imenkamp, Agnes Koschmider, and Matthias Weidlich), In 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 (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, eds.), CEUR-WS.org, volume 3758, 2024. |
| [11] | Addressing the Log Representativeness Problem using Species Discovery (Extended Abstract) (Martin Kabierski, Markus Richter, and Matthias Weidlich), In Proceedings of the 14th International Workshop on Enterprise Modeling and Information Systems Architectures, EMISA 2024, Potsdam, Gemany, March 13-14, 2024 (Ralf Laue, Stephan A. Fahrenkrog-Petersen, eds.), Gesellschaft für Informatik e.V., volume P-349, 2024. |
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| [10] | Model-Independent Error Bound Estimation for Conformance Checking Approximation (Mohammadreza Fani Sani, Martin Kabierski, Sebastiaan J. van Zelst, and Wil M. P. van der Aalst), In Business Process Management Workshops - BPM 2023 International Workshops, Utrecht, The Netherlands, September 11-15, 2023, Revised Selected Papers (Jochen De Weerdt, Luise Pufahl, eds.), Springer, volume 492, 2023. |
| [9] | Addressing the Log Representativeness Problem using Species Discovery (Martin Kabierski, Markus Richter, and Matthias Weidlich), In 5th International Conference on Process Mining, ICPM 2023, Rome, Italy, October 23-27, 2023, IEEE, 2023. |
| [8] | Semantics-aware mechanisms for control-flow anonymization in process mining (Stephan A. Fahrenkrog-Petersen, Martin Kabierski, Han van der Aa, and Matthias Weidlich), In Inf. Syst., volume 114, 2023. |
| [7] | Hiding in the forest: Privacy-preserving process performance indicators (Martin Kabierski, Stephan A. Fahrenkrog-Petersen, and Matthias Weidlich), In Inf. Syst., volume 112, 2023. |
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| [6] | PaPPI: Privacy-aware Process Performance Indicators (Extended Abstract) (Martin Kabierski, Stephan A. Fahrenkrog-Petersen, Glenn Dittmann, and Matthias Weidlich), In Proceedings of the ICPM Doctoral Consortium and Demo Track 2022 co-located with 4th International Conference on Process Mining (ICPM 2022), Bolzano, Italy, October, 2022 (Marwan Hassani, Agnes Koschmider, Marco Comuzzi, Fabrizio Maria Maggi, Luise Pufahl, eds.), CEUR-WS.org, volume 3299, 2022. |
| [5] | Privacy-Preserving Process Mining with PM4Py (Extended Abstract) (Henrik Kirchmann, Stephan A. Fahrenkrog-Petersen, Martin Kabierski, Han van der Aa, and Matthias Weidlich), In Proceedings of the ICPM Doctoral Consortium and Demo Track 2022 co-located with 4th International Conference on Process Mining (ICPM 2022), Bolzano, Italy, October, 2022 (Marwan Hassani, Agnes Koschmider, Marco Comuzzi, Fabrizio Maria Maggi, Luise Pufahl, eds.), CEUR-WS.org, volume 3299, 2022. |
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| [4] | Representativeness of Event Data in Conformance Checking (Martin Kabierski), In Proceedings of the Best Dissertation Award, Doctoral Consortium, and Demonstration & Resources Track at BPM 2021 co-located with 19th International Conference on Business Process Management (BPM 2021), Rome, Italy, September 6th - to - 10th, 2021 (Wil M. P. van der Aalst, Remco M. Dijkman, Akhil Kumar, Francesco Leotta, Fabrizio Maria Maggi, Jan Mendling, Brian T. Pentland, Arik Senderovich, Marcos Sepúlveda, Estefanía Serral Asensio, Mathias Weske, eds.), CEUR-WS.org, volume 2973, 2021. |
| [3] | Privacy-Aware Process Performance Indicators: Framework and Release Mechanisms (Martin Kabierski, Stephan A. Fahrenkrog-Petersen, and Matthias Weidlich), In Advanced Information Systems Engineering - 33rd International Conference, CAiSE 2021, Melbourne, VIC, Australia, June 28 - July 2, 2021, Proceedings (Marcello La Rosa, Shazia W. Sadiq, Ernest Teniente, eds.), Springer, volume 12751, 2021. |
| [2] | SaCoFa: Semantics-aware Control-flow Anonymization for Process Mining (Stephan A. Fahrenkrog-Petersen, Martin Kabierski, Fabian Rösel, Han van der Aa, and Matthias Weidlich), In 3rd International Conference on Process Mining, ICPM 2021, Eindhoven, The Netherlands, October 31 - Nov. 4, 2021 (Claudio Di Ciccio, Chiara Di Francescomarino, Pnina Soffer, eds.), IEEE, 2021. |
| [1] | Sampling What Matters: Relevance-guided Sampling of Event Logs (Martin Kabierski, Hoang Lam Nguyen, Lars Grunske, and Matthias Weidlich), In 3rd International Conference on Process Mining, ICPM 2021, Eindhoven, The Netherlands, October 31 - Nov. 4, 2021 (Claudio Di Ciccio, Chiara Di Francescomarino, Pnina Soffer, eds.), IEEE, 2021. |