Martin Kabierski

According to our database, Martin Kabierski authored at least 23 papers between 2018 and 2026.

Collaborative distances:

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

2026

Data quality in object-centric event data: issues classification and evaluation.

Martin Kabierski, Maike Basmer, Agnieszka Patecka, Kristina Sahling, Saimir Bala

Process Sci., December, 2026

Representative Samples in Process Mining.

Martin Kabierski

PhD thesis, 2026

2025

ContinuumConductor : Decentralized Process Mining on the Edge-Cloud Continuum.

Hendrik Reiter, Janick Edinger, Martin Kabierski, Agnes Koschmider, Olaf Landsiedel, Arvid Lepsien, Xixi Lu, Andrea Marrella, Estefanía Serral, Stefan Schulte, Florian Tschorsch, Matthias Weidlich, Wilhelm Hasselbring

CoRR, December, 2025

Quantifying and relating the completeness and diversity of process representations using species estimation.

Martin Kabierski, Markus Richter, Matthias Weidlich

Inf. Syst., 2025

Determining Window Sizes Using Species Estimation for Accurate Process Mining over Streams.

Christian Imenkamp, Martin Kabierski, Hendrik Reiter, Matthias Weidlich, Wilhelm Hasselbring, Agnes Koschmider

Proceedings of the Advanced Information Systems Engineering, 2025

Comparing Apples with Oranges: An Assessment Framework for Model-System Similarity.

Martin Kabierski, Jana-Rebecca Rehse, Jan Martijn E. M. van der Werf

Proceedings of the Business Process Management Forum - BPM 2025 Forum, Seville, Spain, August 31, 2025

2024

A Classification of Data Quality Issues in Object-Centric Event Data.

Maike Basmer, Martin Kabierski, Kristina Sahling, Agnieszka Patecka, Saimir Bala, Jan Mendling

Proceedings of the Process Mining Workshops, 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

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

Estimating Process Conformance by Trace Sampling and Result Approximation.

Martin Bauer, Han van der Aa, Matthias Weidlich

Proceedings of the Business Process Management - 17th International Conference, 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