BDMA (2IMC99) 2022
In this meeting the student gets insight into the BDMA study program.
In this meeting the student gets insight into the BDMA study program.
Many real-life phenomena studied with Data Science methods unfold over time. They often involve many people, objectes, agents, machines, entites, etc. that interact with each other while distributed in time and space. Such dynamics are called processes and are present everywhere: in software systems medical treatments, logistics systems, manufacturing, and even entire organizations. Process mining Read More …
Context This project is defined in the scope of the Smart Journey Mining project [1, 9]. The SJM project vision is to increase the quality of services by uniting research on customer journeys and process mining using new developments in logic-based analysis and artificial intelligence. Research in SJM is done together with SINTEF Digital (Norway), Read More …
Responsible Process Mining as a topic is introduced in [1]: “The prospect of data misuses negatively affecting our life has led to the concept of responsible data science. It advocates for responsibility to be built, by design, into data management, data analysis, and algorithmic decision-making techniques such that it is made difficult or even impossible Read More …
Verbeek, E., & Fahland, D. (2021). CPN IDE: An Extensible Replacement for CPN Tools That Uses Access/CPN. In M. Jans, G. Janssenswillen, A. Kalenkova , & F. M. Maggi (Eds.), ICPM 2021 Doctoral Consortium and Demo Track 2021: Proceedings of the ICPM Doctoral Consortium and Demo Track 2021 co-located with 10th International Conference on Process Read More …
This Master project is offered by the Configuration Management department of ASML and was developed together with EAISI (Eindhoven Artificial Intelligence Systems Institute, https://eaisi.tue.nl/). Background information Department: Configuration Management If the journey regarding overlapping changes (multiple changes impacting the same item within the same timeframe) has taught is one thing, it is that the analysis Read More …
On June 24th, Mitchel Brunings won the “Best Beaver Hunting Award” at the Petri Nets 2022 conference in Bergen, Norway. Mitchel was the only one to spot all 17 beavers. Congratulations to Mitchel!
On May 25th, Dirk Fahland received from Pattern the “Best Teacher Award 2022” in the Bachelor Data Science major at Eindhoven University of Technology and Tilburg University for his Data Challenge course. Congratulations to Dirk!
On June 1st, Haseeb Tariq started working as PhD student in the PA group. Haseeb will work under the supervision of Marwan Hassani. A big welcome to Haseeb!
Position: PhD Student Room: MF 7.062 Tel (internal): Links: CoursesPresentationsProjectsPublications External links: Personal home pageGoogle scholar pageScopus pageORCID pageDBLP page Recent courses Recent presentations Recent projects Recent publications Recent awards
Aysolmaz, B., Cayhani, F. N., & Reijers, H. A. (Accepted/In press). Narration as a Technique to Improve Process Model Comprehension: Tell Me What I Cannot See. In Proceedings of the 34th International Conference on Advanced Information Systems Engineering (CAiSE’22) Abstract Conceptual models play a vital role in the engineering of information systems. A variety of Read More …
Jorge Munoz-gama, Niels Martin, Carlos Fernandez-llatas, Owen A. Johnson, Marcos Sepúlveda, Emmanuel Helm, Victor Galvez-yanjari, Eric Rojas, Antonio Martinez-millana, Davide Aloini, Ilaria Angela Amantea, Robert Andrews, Michael Arias, Iris Beerepoot, Elisabetta Benevento, Andrea Burattin, Daniel Capurro, Josep Carmona, Marco Comuzzi, Benjamin Dalmas, Rene De La Fuente, Chiara Di Francescomarino, Claudio Di Ciccio, Roberto Gatta, Chiara Read More …
Koorn, J. J., Lu, X., Mannhardt, F., Leopold, H., & Reijers, H. A. (2022). Uncovering Complex Relations in Patient Pathways based on Statistics: the Impact of Clinical Actions. https://doi.org/10.24251/HICSS.2022.503 Abstract Process mining is a family of techniques that can aid healthcare organizations in improving their processes. Most existing process mining techniques do not provide insights Read More …
Aysolmaz, B., & Reijers, H. A. (2021). Animation as a dynamic visualization technique for improving process model comprehension. Information and Management, 58(5), [103478]. https://doi.org/10.1016/j.im.2021.103478 Abstract Process models are widely used for various system analysis and design activities, but it is challenging for stakeholders to understand these complex artifacts. In this work, we focus on the Read More …
Herm, L. V., Janiesch, C., Reijers, H. A., & Seubert, F. (2021). From Symbolic RPA to Intelligent RPA: Challenges for Developing and Operating Intelligent Software Robots. In A. Polyvyanyy, M. T. Wynn, A. Van Looy, & M. Reichert (Eds.), Business Process Management – 19th International Conference, BPM 2021, Proceedings (pp. 289-305). (Lecture Notes in Computer Read More …
Dongen, B. F. V. (2022). Conformance Checking: A Systemic View. In A. Marrella, & B. Weber (Eds.), Business Process Management Workshops – BPM 2021 International Workshops, Revised Selected Papers (pp. 61-72). (Lecture Notes in Business Information Processing; Vol. 436 LNBIP). https://doi.org/10.1007/978-3-030-94343-1_5 Abstract Within the field of process mining, conformance checking plays an important role. While Read More …
Hildebrandt, T., Dongen, B. F. V., Röglinger, M., & Mendling, J. (Guest ed.) (2022). Selected Papers of BPM 2019 – Editorial to the Special Issue. Information Systems, 104, [101902]. https://doi.org/10.1016/j.is.2021.101902
Zaman, R., Hassani, M., & van Dongen, B. F. (2021). A Framework for Efficient Memory Utilization in Online Conformance Checking. arXiv.org. https://arxiv.org/pdf/2112.13640.pdf Abstract Conformance checking (CC) techniques of the process mining field gauge the conformance of the sequence of events in a case with respect to a business process model, which simply put is an Read More …
van Dongen, B. F., De Smedt, J., Di Ciccio, C., & Mendling, J. (2021). Conformance checking of mixed-paradigm process models. Information Systems, 102, [101685]. https://doi.org/10.1016/j.is.2020.101685 Abstract Mixed-paradigm process models integrate strengths of procedural and declarative representations like Petri nets and DECLARE. They are specifically interesting for process mining because they allow capturing complex behavior in Read More …
Zaman, R., Hassani, M., & van Dongen, B. F. (2021). Prefix Imputation of Orphan Events in Event Stream Processing. Frontiers in Big Data, 4, [705243]. https://doi.org/10.3389/fdata.2021.705243 Abstract In the context of process mining, event logs consist of process instances called cases. Conformance checking is a process mining task that inspects whether a log file is Read More …
Burattin, A., De Weerdt, J., van Dongen, B., Claes, J., & van der Aalst, W. (2021). Special issue on business process intelligence. Computing, 103, 1-2. https://doi.org/10.1007/s00607-020-00856-z
Ketykó, I., Mannhardt, F., Hassani, M., & van Dongen, B. F. (2021). What Averages Do Not Tell – Predicting Real Life Processes with Sequential Deep Learning. CoRR, abs/2110.10225. https://arxiv.org/abs/2110.10225 Abstract Deep Learning is proven to be an effective tool for modeling sequential data as shown by the success in Natural Language, Computer Vision and Signal Read More …
van Dongen, B. F., Montali, M., & Wynn, M. T. (Eds.) (2020). 2nd International Conference on Process Mining, ICPM 2020, Padua, Italy, October 4-9, 2020. Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICPM49681.2020
Carmona, J., Weidlich, M., & Dongen, B. V. (2020). Actionable Conformance Checking: From Intuitions to Code. In R-D. Kutsche, & E. Zimányi (Eds.), Big Data Management and Analytics – 9th European Summer School, eBISS 2019, Revised Selected Papers (pp. 1-24). (Lecture Notes in Business Information Processing; Vol. 390). Springer. https://doi.org/10.1007/978-3-030-61627-4_1 Abstract Conformance checking is receiving Read More …
Dumas, M., Fournier, F., Limonad, L., Marrella, A., Montali, M., Rehse, J-R., Accorsi, R., Calvanese, D., Giacomo, G. D., Fahland, D., Gal, A., Rosa, M. L., Völzer, H., & Weber, I. (2022). Augmented Business Process Management Systems: A Research Manifesto. CoRR, abs/2201.12855. https://dblp.org/db/journals/corr/corr2201.html#abs-2201-12855
Fahland, D., Pufahl, L., & Koschmider, A. (2021). Automatische Prozessaufnahme mit Process-Discovery. In R. Laue, A. Koschmider, & D. Fahland (Eds.), Prozessmanagement und Process-Mining – Grundlagen (pp. 235-268) https://doi.org/10.1515/9783110500165-012
Fahland, D., Denisov, V., & van der Aalst, W. M. P. (2021). Inferring Unobserved Events in Systems With Shared Resources and Queues. Fundamenta Informaticae, 183(3-4), 203-242. https://doi.org/10.3233/FI-2021-2087 Abstract To identify the causes of performance problems or to predict process behavior, it is essential to have correct and complete event data. This is particularly important for Read More …
Esser, S., & Fahland, D. (2021). Multi-Dimensional Event Data in Graph Databases. Journal on Data Semantics, 10(1-2), 109–141. https://doi.org/10.1007/s13740-021-00122-1 Abstract Process event data is usually stored either in a sequential process event log or in a relational database. While the sequential, single-dimensional nature of event logs aids querying for (sub)sequences of events based on temporal Read More …
Sommers, D., Menkovski, V., & Fahland, D. (2021). Process Discovery Using Graph Neural Networks. In C. Di Ciccio, C. Di Francescomarino, & P. Soffer (Eds.), Proceedings – 2021 3rd International Conference on Process Mining, ICPM 2021 (pp. 40-47) https://doi.org/10.1109/ICPM53251.2021.9576849 Abstract Automatically discovering a process model from an event log is the prime problem in process Read More …
Fahland, D. (2021). Process-Mining: Prozessanalyse mit Ereignisdaten. In R. Laue, A. Koschmider, & D. Fahland (Eds.), Prozessmanagement und Process-Mining – Grundlagen (pp. 165-198). Walter de Gruyter GmbH. https://doi.org/10.1515/9783110500165-010
Laue, R., Koschmider, A., & Fahland, D. (Eds.) (2021). Prozessmanagement und Process-Mining – Grundlagen. (De Gruyter Studium). Walter de Gruyter GmbH. https://doi.org/10.1515/9783110500165
Brons, D., Scheepens, R., & Fahland, D. (2021). Striking a new Balance in Accuracy and Simplicity with the Probabilistic Inductive Miner. In C. Di Ciccio, C. Di Francescomarino, & P. Soffer (Eds.), Proceedings – 2021 3rd International Conference on Process Mining, ICPM 2021 (pp. 32-39) https://doi.org/10.1109/ICPM53251.2021.9576864 Abstract Numerous process discovery techniques exist for generating process Read More …
Fahland, D., Ghidini, C., Becker, J., & Dumas, M. (Eds.) (2020). Business Process Management – 18th International Conference, BPM 2020, Seville, Spain, September 13-18, 2020, Proceedings. (Lecture Notes in Computer Science; Vol. 12168). Springer. https://doi.org/10.1007/978-3-030-58666-9
Fahland, D., Ghidini, C., Becker, J., & Dumas, M. (Eds.) (2020). Business Process Management Forum – BPM Forum 2020, Seville, Spain, September 13-18, 2020, Proceedings. (Lecture Notes in Business Information Processing; Vol. 392). Springer. https://doi.org/10.1007/978-3-030-58638-6
Leemans, S. J. J., & Fahland, D. (2020). Information-preserving abstractions of event data in process mining. Knowledge and Information Systems, 62(3), 1143–1197. https://doi.org/10.1007/s10115-019-01376-9 Abstract Process mining aims at obtaining information about processes by analysing their past executions in event logs, event streams, or databases. Discovering a process model from a finite amount of event data Read More …
Mozafari Mehr, A., Medeiros de Carvalho, R., & van Dongen, B. F. (2021). Detecting Privacy, Data and Control-Flow Deviations in Business Processes. In S. Nurcan, & A. Korthaus (Eds.), Intelligent Information Systems – CAiSE Forum 2021, Proceedings (pp. 82-91). (Lecture Notes in Business Information Processing; Vol. 424 LNBIP). Springer. https://doi.org/10.1007/978-3-030-79108-7_10 Abstract Existing access control mechanisms Read More …
Medeiros de Carvalho, R., Del Prete, C., Martin, Y. S., Araujo Rivero, R. M., Önen, M., Schiavo, F. P., Rumín, Á., Mouratidis, H., Yelmo, J. C., & Koukovini, M. N. (2020). Protecting Citizens’ Personal Data and Privacy: Joint Effort from GDPR EU Cluster Research Projects. SN Computer Science, 1, [217]. https://doi.org/10.1007/s42979-020-00218-8 Abstract Confidence in information Read More …
Hoekenrode 3, Amsterdam, Netherlands Intern Region: EMEA – Europe, Middle East and Africa Employee Type: Intern (fixed time) Company Description ServiceNow is making the world of work, work better for people. Our cloud‑based platform and solutions deliver digital workflows that create great experiences and unlock productivity for employees and the enterprise. We’re growing fast, innovating Read More …
Hoekenrode 3, Amsterdam, Netherlands Region: EMEA – Europe, Middle East and Africa Company Description ServiceNow is making the world of work, work better for people. Our cloud‑based platform and solutions deliver digital workflows that create great experiences and unlock productivity for employees and the enterprise. We’re growing fast, innovating faster, and making an impact on Read More …
Lövei, P., Nazarchuk, I., Aslam, S., Yu, B., Megens, C. J. P. G., & Sidorova, N. (2021). Designing Micro-intelligences for Situated Affective Computing. In R-H. Liang, A. Chiumento, P. Pawełczak, & M. Funk (Eds.), CHIIOT 2021: Workshops on Computer Human Interaction in IoT Applications Abstract In this position paper we show how micro-intelligences can be Read More …