Objectives After taking this course students should: Content Data science is the profession of the future, because organizations that are unable to use (big) data in a smart way will not survive. It is not sufficient to focus on data storage and data analysis. The data scientist also needs to relate data to process analysis. Read More …
Objectives Acquire state-of-the-art scientific knowledge of a particular topic in the information systems domain. Typical topics are process modeling, workflow management, process mining, web services, service oriented architectures, language transformations, etc. Content People interested in the ‘process side’ of information systems can take the course ‘Capita selecta architecture of information systems’. This course will be Read More …
Mendling, J., Leemans, S. J. J., Dongen, van, B. F., & Reijers, H. A. (Eds.) (2026). Mining a Scientist’s Process: Essays Dedicated to Wil van der Aalst on the Occasion of His 60th Birthday. (Lecture Notes in Computer Science; Vol. 16480). Springer. https://doi.org/10.1007/978-3-032-17618-9
Seidel, A., Weske, M., Montali, M., Rivkin, A., Reichert, M., van der Werf, J. M. E. M., van der Aalst, W. M. P., Breitmayer, M., Liss, L., van Detten, J. N., Jalali, A., Khayatbashi, S., König, M., Lichtenstein, T., Rinderle-Ma, S., Weber, B., Soffer, P., Rossi, L., Calegari Garcia, D., Delgado, A., Dijkman, R., Winkler, Read More …
Mozafari Mehr, A. S., M. de Carvalho, R., & van Dongen, B. (2023). Explainable conformance checking: Understanding patterns of anomalous behavior. Engineering Applications of Artificial Intelligence, 126(Part B.), Article 106827. https://doi.org/10.1016/j.engappai.2023.106827 Abstract Anomaly detection in the execution of business processes in the organizations has a high level of complexity due to the consideration of various Read More …
Problem statement Important feedback on the quality status of Philips equipment in the field comes from customer complaints, software logs, service notes, and replaced parts. Millions of records are collected worldwide. To identify improvement opportunities, data is captured, monitored, and analysed. Philips has started using AI agents to make such data analysis more effective and Read More …
Sommers, D., Sidorova, N., & van Dongen, B. (2026). In system alignments we trust! Explainable alignments via projections. Information Systems, 136, Article 102631. https://doi.org/10.1016/j.is.2025.102631 Abstract Alignments are a well-known process mining technique for reconciling system logs and normative process models. Evidence of certain behaviors in a real system may only be present in one representation Read More …
Sommers, D., Sidorova, N., & van Dongen, B. F. (2025). A Ground Truth Approach for Assessing Process Mining Techniques. arXiv.org. https://doi.org/10.48550/arXiv.2501.14345 Abstract The assessment of process mining techniques using real-life data is often compromised by the lack of ground truth knowledge, the presence of non-essential outliers in system behavior and recording errors in event logs. Read More …
Bavaro, S., Chatain, T., & van Dongen, B. F. (2025). Timed Anti-Alignments for Acyclic Marked Graphs. In M. Köhler-Bußmeier, D. Moldt, H. Rölke, R. Bergenthum, A. Rivkin, J. M. E. M. van der Werf, J. Desel, & L. Petrucci (Eds.), PN-WS 2025 : Joint Workshop Proceedings of PNSE, ATAED, and PeNGE at PETRI NETS 2025: Read More …
Tentina, I., Zerbato, F., Mannhardt, F., & van Dongen, B. F. (2025). Why Do Users Struggle to Get Insights from Process Mining? In J. De Weerdt, J.-R. Rehse, & H. Reijers (Eds.), 2025 7th International Conference on Process Mining, ICPM 2025 Article 11220617 Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICPM66919.2025.11220617 (best student paper award) Abstract Read More …
Irina Tentina, Iris Beerepoot, Xixi Lu, Hajo Reijers, Boudewijn van Dongen and Vinicius Stein Dani have received the Best Paper Award At the EduPM 2025 workshop at ICPM 2025 with the paper titled “Challenges in Teaching Process Mining: Insights from Process Mining Educators”. Congratulations to Irina, Iris, Xixi, Hajo, Boudewijn and Vinicius!
Irina Tentina, Francesca Zerbato, Felix Mannhardt and Boudewijn van Dongen have received the Best Student Paper Award at ICPM 2025 for their paper titled “Why do users struggle to get insights from Process Mining?“. Congratulations to Irina, Francesca, Felix and Boudewijn!
Objectives After taking this course students should: Content Data science is the profession of the future, because organizations that are unable to use (big) data in a smart way will not survive. It is not sufficient to focus on data storage and data analysis. The data scientist also needs to relate data to process analysis. Read More …
Objectives Acquire state-of-the-art scientific knowledge of a particular topic in the information systems domain. Typical topics are process modeling, workflow management, process mining, web services, service oriented architectures, language transformations, etc. Content People interested in the ‘process side’ of information systems can take the course ‘Capita selecta architecture of information systems’. This course will be Read More …
Tentina, I., Mannhardt, F., Zerbato, F., & van Dongen, B. (2025). Can Users Trust Process Mining? In K. Wecel (Ed.), Business Information Systems: 25th International Conference, BIS 2025, Poznań, Poland, June 25–27, 2025, Proceedings (pp. 137-151). (Lecture Notes in Business Information Processing (LNBIP); Vol. 554). Springer. https://doi.org/10.1007/978-3-031-94193-1_11 Abstract Process mining enables organizations to gain insights Read More …
van der Haas, Y., Medeiros de Carvalho, R., van Dijk, T., van Dongen, B. F., & Plas, R. (2025). A Novel Way to Evaluate Medical Discharge Predictions: A Research Paper. Paper presented at2st International Workshop on Process Mining Applications for Healthcare, PM4H25, Pavia, Italië.
Muskan, Mannhardt, F., & van Dongen, B. (2025). Extending Genetic Process Discovery to Reveal Unfairness in Processes. In A. Delgado, & T. Slaats (editors), Process Mining Workshops: ICPM 2024 International Workshops, Lyngby, Denmark, October 14–18, 2024, Revised Selected Papers (blz. 751-763). (Lecture Notes in Business Information Processing (LNBIP); Vol. 533). Springer. https://doi.org/10.1007/978-3-031-82225-4_55 Abstract Fairness is an essential Read More …
vom Brocke, J., van der Aalst, W. M. P., Berente, N., van Dongen, B. F., Grisold, T., Kremser, W., Mendling, J., Pentland, B. T., Roeglinger, M., Rosemann, M., & Weber, B. (2024). Process science: the interdisciplinary study of socio-technical change. Process Science, 1(1), Artikel 1. https://doi.org/10.1007/s44311-024-00001-5 Abstract Process science is the interdisciplinary study of socio-technical Read More …
Brunings, M., Fahland, D., & van Dongen, B. F. (2025). Constructive Alignment in Process Mining. In A. Delgado, & T. Slaats (Eds.), Process Mining Workshops: ICPM 2024 International Workshops, Lyngby, Denmark, October 14–18, 2024, Revised Selected Papers (pp. 105-116). (Lecture Notes in Business Information Processing (LNBIP); Vol. 533). Springer. https://doi.org/10.1007/978-3-031-82225-4_8 Abstract Constructive alignment is a Read More …
Sommers, D. (Accepted/In press). Illuminating Perspectives of Deviations in Process Behavior. [Phd Thesis 1 (Research TU/e / Graduation TU/e), Mathematics and Computer Science]. Eindhoven University of Technology.
Are you fascinated by the interplay between machine learning and process mining, and eager to contribute to this exciting field? Join the Process Analytics group as our new Assistant Professor! Job description We are looking for an assistant professor interested in responsible process mining, where responsibility is the primary object of study. Topics include the Read More …
Sommers, D., Sidorova, N., & van Dongen, B. F. (2023). Exact and Approximated Log Alignments for Processes with Inter-case Dependencies. arXiv, 2023, Article 2304.05210. https://doi.org/10.48550/arXiv.2304.05210 Abstract The execution of different cases of a process is often restricted by inter-case dependencies through e.g., queueing or shared resources. Various high-level Petri net formalisms have been proposed that Read More …
Objectives After taking this course students should: have a good understanding of process mining, understand the role of data science in today’s society, be able to relate process mining techniques to other analysis techniques such as simulation, business intelligence, data mining, machine learning, and verification, be able to apply basic process discovery techniques to learn Read More …
Objectives Acquire state-of-the-art scientific knowledge of a particular topic in the information systems domain. Typical topics are process modeling, workflow management, process mining, web services, service oriented architectures, language transformations, etc. Content People interested in the ‘process side’ of information systems can take the course ‘Capita selecta architecture of information systems’. This course will be Read More …
Spenrath, Y., Hassani, M., & van Dongen, B. F. (2024). Online Prediction Threshold Optimization Under Semi-deferred Labelling. In T. Palpanas, & H. V. Jagadish (Eds.), 8th International workshop on Data Analytics solutions for Real-LIfe APplications (DARLI-AP) (CEUR Workshop Proceedings; Vol. 3651). CEUR-WS.org. https://ceur-ws.org/Vol-3651/ Abstract In supermarket loyalty campaigns, shoppers collect stamps to redeem limited-time luxury Read More …
Mozafari Mehr, A. S. (2024). Multi-perspective Conformance Checking: Identifying and Understanding Patterns of Anomalous Behavior. [Phd Thesis 1 (Research TU/e / Graduation TU/e), Mathematics and Computer Science]. Eindhoven University of Technology. Summary The problem of anomaly detection in business process executions has high level of complexity. On one hand, detecting deviating behavior requires considering various Read More …
Mehr, A. S. M., de Carvalho, R. M., & van Dongen, B. (2023). Identifying the Context of Data Usage to Diagnose Privacy Issues through Process Mining. Transactions on Data Privacy, 16(2), 123-151. http://www.tdp.cat/issues21/tdp.a456a22.pdf Abstract In recent years, data privacy issues are increasingly concerned by organisations and gov-ernments. Organisations often define a set of rules as Read More …
Zaman, R., Hassani, M., & van Dongen, B. F. (2023). Conformance checking of process event streams with constraints on data retention. Information Systems, 117, Article 102228. https://doi.org/10.1016/j.is.2023.102228 Abstract Conformance checking (CC) techniques in process mining determine the conformity of cases, by means of their event sequences, with respect to a business process model. Online conformance Read More …
You’ve learned about process mining during your courses, but how much do you know about creating the event log for process mining? In business, creating the event log required for process mining is one of the most time-intensive, most complex parts of a process mining project. At Konekti, we’ve built a platform that simplifies and Read More …
Data science is the profession of the future, because organizations that are unable to use (big) data in a smart way will not survive. It is not sufficient to focus on data storage and data analysis. The data scientist also needs to relate data to process analysis. Process mining bridges the gap between traditional model-based Read More …
Learning goals Students gain insight in basic techniques for processing large amounts of data in an efficient, reliable, and consistent way. Students develop skills in understanding, interpreting, and documenting data and information in the context of realistic scenarios. Students get understanding of the data life cycle and develop skills for structuring their solutions of practical Read More …
This course can only be followed by permission of the responsible lecturer. People interested in the ‘process side’ of information systems can take the course ‘Capita selecta architecture of information systems’. This course will be organized in an ad-hoc manner taking into account the interests of the student. The focus will always be on a Read More …
Mozafari Mehr, A. S., M. de Carvalho, R., & van Dongen, B. (2023). Detecting Complex Anomalous Behaviors in Business Processes: A Multi-perspective Conformance Checking Approach. In M. Montali, A. Senderovich, & M. Weidlich (Eds.), Process Mining Workshops – ICPM 2022 International Workshops, Revised Selected Papers (pp. 44-56). (Lecture Notes in Business Information Processing; Vol. 468 LNBIP). Read More …
Mozafari Mehr, A. S., M. de Carvalho, R., & van Dongen, B. (2022). An Association Rule Mining-Based Framework for the Discovery of Anomalous Behavioral Patterns. In W. Chen, L. Yao, T. Cai, S. Pan, T. Shen, & X. Li (Eds.), Advanced Data Mining and Applications – 18th International Conference, ADMA 2022, Proceedings (pp. 397-412). (Lecture Notes in Computer Read More …
Mehr, A. S. M., de Carvalho, R. M., & van Dongen, B. (2021). MLA: A Tool for Multi-Perspective Conformance Checking of Business Processes. In ICPM 2021 Doctoral Consortium and Demo Track 2021 (pp. 35-36). (CEUR Workshop Proceedings; Vol. 3098). CEUR-WS.org. https://ceur-ws.org/Vol-3098/demo_200.pdf Abstract Existing conformance checking techniques focus more on the control-flow perspective rather than other Read More …
Sommers, D., Sidorova, N., & van Dongen, B. (2022). Aligning Event Logs to Resource-Constrained ν-Petri Nets. In L. Bernardinello, & L. Petrucci (Eds.), Application and Theory of Petri Nets and Concurrency – 43rd International Conference, PETRI NETS 2022, Proceedings (pp. 325-345). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Read More …
Spenrath, Y., Hassani, M., & Dongen, B. F. V. (2022). Clustering-based Aggregations for Prediction in Event Streams. CoRR, abs/2210.09738. https://doi.org/10.48550/arXiv.2210.09738
Spenrath, Y., Hassani, M., & van Dongen, B. F. (2022). Online Prediction of Aggregated Retailer Consumer Behaviour. In J. Munoz-Gama, & X. Lu (Eds.), Process Mining Workshops – ICPM 2021 International Workshops, Revised Selected Papers (pp. 211-223). (Lecture Notes in Business Information Processing; Vol. 433 LNBIP). Springer. https://doi.org/10.1007/978-3-030-98581-3_16 Abstract Predicting the behaviour of consumers provides valuable Read More …
Spenrath, Y., Hassani, M., & Van Dongen, B. F. (2022). BitBooster: Effective Approximation of Distance Metrics via Binary Operations. In H. Va Leong, S. S. Sarvestani, Y. Teranishi, A. Cuzzocrea, H. Kashiwazaki, D. Towey, J-J. Yang, & H. Shahriar (Eds.), Proceedings – 2022 IEEE 46th Annual Computers, Software, and Applications Conference, COMPSAC 2022 (pp. 201-210). Read More …
