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Publications

2025:

Reiter, H., Imenkamp, C., Hasselbring, W., Maldonado, A., Landsiedel, O., Rathje, P. (2025). The PM–EdgeMap: Towards Real–Time Process Mining on the Edge–Cloud Continuum. In: BP-Meet-IoT Workshop at the International Conference on Business Process Management (BPM 2025). In press.

Imenkamp, C., Bertrand, Y., Grüger, J., Malburg, L., Franceschetti, M., Ehrendorfer, J., Koschmider, A. (2025). BROOM: Toolbox for IoT–Enhanced Process Mining. In: Demo Track of the International Conference on Business Process Management (BPM 2025). In press.

Kirchmann, H., Fahrenkrog-Petersen, S. A., Lu, X., Weidlich, M. (2025). Let’s simply count: Quantifying Distributional Similarity between Activities in Event Data. In press. Proceedings of the International Conference on Process Mining (ICPM 2025).

C. Rubensson, H. Kaur, T. Kampik, and J. Mendling, “Timeline-based process discovery,” Information Systems, p. 102568, 2025, doi: https://doi.org/10.1016/j.is.2025.102568.

Weisenseel, M., Döpmann, C., & Tschorsch, F. (2025). The Last Hop Attack: Why Loop Cover Traffic over Fixed Cascades Threatens Anonymity. Proceedings on Privacy Enhancing Technologies. https://doi.org/10.56553/popets-2025-0067

Imenkamp, C., Koschmider, A. (2025). Streaming Process Mining over Realistic Event Streams. To appear in: Proceedings of the EMISA 2025 – Novel Directions Talks. Gesellschaft für Informatik (GI).

Imenkamp, C., Kabierski, M., Reiter, H., Hasselbring, W., Weidlich, M., Koschmider, A. (2025). Determining Window Sizes using Species Estimation for Accurate Process Mining over Streams. To appear in: Advanced Information Systems Engineering. CAiSE 2025. Lecture Notes in Computer Science, Springer.

Hamid, A. R., Reiter, H., Kjærgaard, M. B., & Hasselbring, W. (2025). (In press) Investigating Quality Attributes of Machine Learning Inference on the Edge-Cloud Continuum.

Andersen, J., Rathje, P., Imenkamp, C., Koschmider, A., & Landsiedel, O. (2025). (In press) EdgeMiner: Distributed Process Mining at the Data Sources.

Rubensson, C., Pufahl, L., Mendling, J. (2025). A Conceptual Framework for Resource Analysis in Process Mining. In: Kaczmarek-Heß, M., et al. (eds) EDOC 2024 Workshops. Lecture Notes in Business Information Processing, vol 537. Springer. https://doi.org/10.1007/978-3-031-79059-1_12

Kaur, H., Mendling, J., Kampik, T., Rubensson, C. (2025). Towards Timeline-Based Layout for Process Mining. In: Paja, E., et al. (eds) PoEM 2024. Lecture Notes in Business Information Processing, vol 538. Springer. https://doi.org/10.1007/978-3-031-77908-4_12

Klessascheck, F., Fahrenkrog-Petersen, S. A., Mendling, J., & Pufahl, L. (2025, February). Unlocking Sustainability Compliance: Characterizing the EU Taxonomy. In EDOC 2024, Revised Selected Papers (Vol. 15409, p. 339). Springer Nature.

Franzoi, S., Hartl, S., Grisold, T., van der Aa, H., Mendling, J., & vom Brocke, J. (2025). Explaining process dynamics: a Process Mining Context Taxonomy for sense-making. Process Science, 2(1), 2.

Rubensson, C., Brettschneider, J., Andreswari, R., Revoredo, K., & Mendling, J. (2025). Coordination, Cooperation, and Collaboration in Process Mining.

2024:

Rubensson, C., Mendling, J., Weidlich, M. (2024). Variants of Variants: Context-Based Variant Analysis for Process Mining. In: CAiSE 2024. Lecture Notes in Computer Science, vol 14663. Springer. https://doi.org/10.1007/978-3-031-61057-8_23

Imenkamp, C., Akili, S., Weidlich, M., Koschmider, A. (2025). Detect and Conquer: Template-Based Analysis of Processes Using Complex Event Processing. In: ICPM 2024 Workshops. Lecture Notes in Business Information Processing, vol 533. Springer. https://doi.org/10.1007/978-3-031-82225-4_50

Andersen, J., Rathje, P., Landsiedel, O. (2025). Check My Flow: Distributed Conformance Checking at the Source. In: BPM 2024 Workshops. Lecture Notes in Business Information Processing, vol 534. Springer. https://doi.org/10.1007/978-3-031-78666-2_8

Kabierski, M., Imenkamp, C., Koschmider, A., Weidlich, M. (2024). SpeciAL4PM: Species Analysis of Event Logs for Process Mining. In: BPM Forum 2024. CEUR Workshop Proceedings, vol 3758. CEUR-WS.org. https://ceur-ws.org/Vol-3758/paper-25.pdf

Reiter, H., Imenkamp, C., Koschmider, A., & Hasselbring, W. Distributed Event Factory: A Tool for Generating Event Streams on Distributed Data Sources. In ICPM 2024, Demonstration Track. https://ceur-ws.org/Vol-3783/paper_323.pdf

Hoogmoed, A., Vidgof, M., Djurica, D., Rubensson, C., Mendling, J. (2024). Visual Representation of Resource Analysis Insights for Process Mining. In: BPMDS EMMSAD 2024. Lecture Notes in Business Information Processing, vol 511. Springer. https://doi.org/10.1007/978-3-031-61007-3_10

Bala, S., Jacobowitz, T., & Mendling, J. (2024, September). Spotting the weasel at work: mining inappropriate behavior patterns in event logs. In EDOC 2024. Springer.

Klessascheck, F., Fahrenkrog-Petersen, S. A., Mendling, J., & Pufahl, L. (2024, September). Unlocking sustainability compliance: characterizing the EU taxonomy for BPM. In EDOC 2024. Springer.

Basmer, M., Kabierski, M., Sahling, K., Patecka, A., Bala, S., & Mendling, J. (2024, October). A classification of data quality issues in object-centric event data. In ICPM 2024. Springer.

Monashev, M., & Mendling, J. (2024, August). Design Principles for Bots Supporting Case-Based Reasoning. In BPM 2024. Springer.

Knoblich, S., Mendling, J., & Böhme, L. S. (2024). Proposal for an in-house legal process mining case.

Grisold, T., Van Der Aa, H., Franzoi, S., Hartl, S., Mendling, J., & Vom Brocke, J. (2024, October). A context framework for sense-making of process mining results. In ICPM 2024. IEEE.

Mendling, J., Jans, M., & Sahling, K. (2024, October). Structuring Empirical Research on Process Mining at the Individual Level Using the Theory of Effective Use. In ICPM 2024. Springer.

2023:

2023 Publications

Lukas Pfahlsberger, Christoffer Rubensson, Steven Knoblich, Maxim Vidgof, Jan Mendling (2023). Multi-Perspective Path Semantics in Process Mining based on Causal Process Knowledge. PoEM Companion 2023. https://ceur-ws.org/Vol-3645/forum1.pdf


Verantwortlich für die Redaktion: Christian Imenkamp

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