| How much event data is enough? A statistical framework for process discovery M Bauer, A Senderovich, A Gal, L Grunske, M Weidlich Advanced Information Systems Engineering: 30th International Conference …, 2018 | 36 | 2018 |
| Estimating process conformance by trace sampling and result approximation M Bauer, H Van der Aa, M Weidlich Business Process Management: 17th International Conference, BPM 2019, Vienna …, 2019 | 29 | 2019 |
| Elpaas: Event log privacy as a service M Bauer, SA Fahrenkrog-Petersen, A Koschmider, F Mannhardt, ... CEUR Workshop Proceedings [University Publisher], 2019 | 24 | 2019 |
| SaCoFa: Semantics-aware Control-flow Anonymization for Process Mining SA Fahrenkog-Petersen, M Kabierski, F Rösel, H van der Aa, M Weidlich 2021 3rd International Conference on Process Mining (ICPM), 72-79, 2021 | 15 | 2021 |
| Sampling and approximation techniques for efficient process conformance checking M Bauer, H van der Aa, M Weidlich Information Systems, 101666, 2020 | 14 | 2020 |
| Privacy-aware Process Performance Indicators: Framework and Release Mechanisms M Kabierski, SA Fahrenkrog-Petersen, M Weidlich International Conference on Advanced Information Systems Engineering, 19-36, 2021 | 13 | 2021 |
| Semantics-aware mechanisms for control-flow anonymization in process mining SA Fahrenkrog-Petersen, M Kabierski, H van der Aa, M Weidlich Information Systems 114, 102169, 2023 | 4 | 2023 |
| Sampling What Matters: Relevance-guided Sampling of Event Logs M Kabierski, HL Nguyen, L Grunske, M Weidlich 2021 3rd International Conference on Process Mining (ICPM), 64-71, 2021 | 4 | 2021 |
| Model Independent Error Bound Estimation for Conformance Checking Approximation MF Sani, M Kabierski, SJ van Zelst, WMP van der Aalst arXiv preprint arXiv:2103.13315, 2021 | 3 | 2021 |
| Addressing the Log Representativeness Problem using Species Discovery M Kabierski, M Richter, M Weidlich 2023 5th International Conference on Process Mining (ICPM), 65-72, 2023 | 2 | 2023 |
| Hiding in the forest: Privacy-preserving process performance indicators M Kabierski, SA Fahrenkrog-Petersen, M Weidlich Information Systems 112, 102127, 2023 | 2 | 2023 |
| Privacy-Preserving Process Mining with PM4Py H Kirchmann, SA Fahrenkrog-Petersen, M Kabierski, H van der Aa, ... ICPM Doctoral Consortium/Demo, 85-89, 2022 | 1 | 2022 |
| Model-Independent Error Bound Estimation for Conformance Checking Approximation M Fani Sani, M Kabierski, SJ van Zelst, WMP van der Aalst International Conference on Business Process Management, 369-382, 2023 | | 2023 |
| PaPPI: Privacy-aware Process Performance Indicators M Kabierski, SA Fahrenkrog-Petersen, G Dittmann, M Weidlich ICPM Doctoral Consortium/Demo, 113-117, 2022 | | 2022 |
| Representativeness of Event Data in Conformance Checking. M Kabierski BPM (PhD/Demos), 85-90, 2021 | | 2021 |
Matthias WeidlichHumboldt-Universität zu BerlinVerified email at hu-berlin.de
