Martin Kabierski

According to our database, Martin Kabierski authored at least 16 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Addressing the Log Representativeness Problem using Species Discovery (Extended Abstract).

Martin Kabierski, Markus Richter, Matthias Weidlich

Proceedings of the 14th International Workshop on Enterprise Modeling and Information Systems Architectures, 2024

SpeciAL4PM: Species Analysis of Event Logs for Process Mining.

Martin Kabierski, Christian Imenkamp, Agnes Koschmider, Matthias Weidlich

Proceedings of the Best Dissertation Award, 2024

2023

Semantics-aware mechanisms for control-flow anonymization in process mining.

Stephan A. Fahrenkrog-Petersen, Martin Kabierski, Han van der Aa, Matthias Weidlich

Inf. Syst., March, 2023

Hiding in the forest: Privacy-preserving process performance indicators.

Martin Kabierski, Stephan A. Fahrenkrog-Petersen, Matthias Weidlich

Inf. Syst., 2023

Addressing the Log Representativeness Problem using Species Discovery.

Martin Kabierski, Markus Richter, Matthias Weidlich

Proceedings of the 5th International Conference on Process Mining, 2023

Model-Independent Error Bound Estimation for Conformance Checking Approximation.

Mohammadreza Fani Sani, Martin Kabierski, Sebastiaan J. van Zelst, Wil M. P. van der Aalst

Proceedings of the Business Process Management Workshops, 2023

2022

Sampling and approximation techniques for efficient process conformance checking.

Martin Bauer, Han van der Aa, Matthias Weidlich

Inf. Syst., 2022

Privacy-Preserving Process Mining with PM4Py (Extended Abstract).

Henrik Kirchmann, Stephan A. Fahrenkrog-Petersen, Martin Kabierski, Han van der Aa, Matthias Weidlich

Proceedings of the ICPM Doctoral Consortium and Demo Track 2022 co-located with 4th International Conference on Process Mining (ICPM 2022), 2022

PaPPI: Privacy-aware Process Performance Indicators (Extended Abstract).

Martin Kabierski, Stephan A. Fahrenkrog-Petersen, Glenn Dittmann, Matthias Weidlich

Proceedings of the ICPM Doctoral Consortium and Demo Track 2022 co-located with 4th International Conference on Process Mining (ICPM 2022), 2022

2021

Sampling What Matters: Relevance-guided Sampling of Event Logs.

Martin Kabierski, Hoang Lam Nguyen, Lars Grunske, Matthias Weidlich

Proceedings of the 3rd International Conference on Process Mining, 2021

SaCoFa: Semantics-aware Control-flow Anonymization for Process Mining.

Stephan A. Fahrenkrog-Petersen, Martin Kabierski, Fabian Rösel, Han van der Aa, Matthias Weidlich

Proceedings of the 3rd International Conference on Process Mining, 2021

Privacy-Aware Process Performance Indicators: Framework and Release Mechanisms.

Martin Kabierski, Stephan A. Fahrenkrog-Petersen, Matthias Weidlich

Proceedings of the Advanced Information Systems Engineering, 2021

Representativeness of Event Data in Conformance Checking.

Martin Kabierski

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, 2021

2020

Estimating Process Conformance by Trace Sampling and Result Approximation.

Martin Bauer, Han van der Aa, Matthias Weidlich

EMISA Forum, 2020

2019

ELPaaS: Event Log Privacy as a Service.

Martin Bauer, Stephan A. Fahrenkrog-Petersen, Agnes Koschmider, Felix Mannhardt, Han van der Aa, Matthias Weidlich

Proceedings of the Dissertation Award, 2019

2018

How Much Event Data Is Enough? A Statistical Framework for Process Discovery.

Martin Bauer, Arik Senderovich, Avigdor Gal, Lars Grunske, Matthias Weidlich

Proceedings of the Advanced Information Systems Engineering, 2018