Beerepoot, I., Di Ciccio, C., Reijers, H. A., Rinderle-Ma, S., Bandara, W., Burattin, A., Calvanese, D., Chen, T., Cohen, I., Depaire, B., Di Federico, G., Dumas, M., van Dun, C., Fehrer, T., Fischer, D. A., Gal, A., Indulska, M., Isahagian, V., Klinkmüller, C., … Zerbato, F. (2023). The biggest business process management problems to solve Read More …
Ozkan, B., Koops, M., Türetken, O., & Reijers, H. A. (2023). The Influence of Business Process Management System Implementation on an Organization’s Process Orientation: A Case Study of a Financial Service Provider. Information Systems Management, 1-22. Advance online publication. https://doi.org/10.1080/10580530.2023.2286980 Abstract This study investigates the influence of Business Process Management System (BPMS) implementation on an Read More …
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 …
Reijers, H. A. (2021). Business Process Management: The evolution of a discipline. Computers in Industry, 126, [103404]. https://doi.org/10.1016/j.compind.2021.103404 Abstract Business Process Management (BPM) embodies a management philosophy, which is supported by a range of methods, techniques, and tools. Academics are continuously expanding this repertoire. In this overview article, the themes are sketched that characterize the Read More …
Leyer, M., Aysolmaz, B., Brown, R., Türkay, S., & Reijers, H. A. (2021). Process training for industrial organisations using 3D environments: An empirical analysis. Computers in Industry, 124, [103346]. https://doi.org/10.1016/j.compind.2020.103346 Abstract Industrial organisations spend considerable resources on training employees with respect to the organisations’ business processes. These resources include business process models, diagrams depicting vital Read More …
van der Aa, H., Leopold, H., & Reijers, H. A. (2020). Efficient process conformance checking on the basis of uncertain event-to-activity mappings. IEEE Transactions on Knowledge and Data Engineering, 32(5), 927-940. [8634941]. https://doi.org/10.1109/TKDE.2019.2897557 Abstract Conformance checking enables organizations to automatically identify compliance violations based on the analysis of observed event data. A crucial requirement for Read More …
Pika, A., Wynn, M. T., Budiono, S., ter Hofstede, A. H. M., van der Aalst, W. M. P., & Reijers, H. A. (2020). Privacy-preserving process mining in healthcare. International Journal of Environmental Research and Public Health, 17(5), [1612]. https://doi.org/10.3390/ijerph17051612 Abstract Process mining has been successfully applied in the healthcare domain and has helped to uncover Read More …
Beerepoot, I., Ouali, A., van de Weerd, I., & Reijers, H. A. (2020). Working around health information systems: To accept or not to accept? In J. vom Brocke, S. Gregor, & O. Muller (Eds.), 27th European Conference on Information Systems – Information Systems for a Sharing Society, ECIS 2019 [182] Association for Information Systems. https://aisel.aisnet.org/ecis2019_rp/182 Read More …
Aysolmaz, B., Schunselaar, D. M. M., Reijers, H. A., & Yaldiz, A. (2019). Selecting a process variant modeling approach: guidelines and application. Software and Systems Modeling, 18(2), 1155-1178. https://doi.org/10.1007/s10270-017-0648-z Abstract Various modeling approaches have been introduced to manage process diversity in a business context. For practitioners, it is difficult to select an approach suitable for Read More …
Beerepoot, I., van de Weerd, I., & Reijers, H. A. (2019). The potential of workarounds for improving processes. In C. Di Francescomarino, R. Dijkman, & U. Zdun (Eds.), Business Process Management Workshops – BPM 2019 International Workshops, Revised Selected Papers (pp. 338-350). (Lecture Notes in Business Information Processing; Vol. 362 LNBIP). Springer. https://doi.org/10.1007/978-3-030-37453-2_28 Abstract Several Read More …
González López de Murillas, E., Reijers, H. A., & van der Aalst, W. M. P. (2019). Connecting databases with process mining: a meta model and toolset. Software and Systems Modeling, 18(2), 1209-1247. https://doi.org/10.1007/s10270-018-0664-7 Abstract Process mining techniques require event logs which, in many cases, are obtained from databases. Obtaining these event logs is not a Read More …
de Murillas, E. G. L., Reijers, H. A., & van der Aalst, W. M. P. (Accepted/In press). Case notion discovery and recommendation: automated event log building on databases. Knowledge and Information Systems. https://doi.org/10.1007/s10115-019-01430-6 Abstract Process mining techniques use event logs as input. When analyzing complex databases, these event logs can be built in many ways. Read More …
Gonzalez Lopez de Murillas, E. (2019). Process mining on databases: extracting event data from real-life data sources Eindhoven: Technische Universiteit Eindhoven
Dees, M., de Leoni, M., van der Aalst, W. M. P., & Reijers, H. A. (2019). What if process predictions are not followed by good recommendations? In J. vom Brocke , J. Mendling, & M. Rosemann (Eds.), 17th International Conference on Business Process Management 2019 Industry Forum: Proceedings of the Industry Forum at BPM 2019 Read More …
Beerepoot, I., van de Weerd, I., & Reijers, H. A. (2019). Business process improvement activities: differences in organizational size, culture, and resources. In T. Hildebrandt, B. F. van Dongen, M. Röglinger, & J. Mendling (Eds.), Business Process Management – 17th International Conference, BPM 2019, Proceedings (pp. 402-418). (Lecture Notes in Computer Science (including subseries Lecture Read More …
Leopold, H., van der Aa, H., Offenberg, J., & Reijers, H. A. (2019). Using Hidden Markov Models for the accurate linguistic analysis of process model activity labels. Information Systems, 83, 30-39. DOI: 10.1016/j.is.2019.02.005 Abstract Many process model analysis techniques rely on the accurate analysis of the natural language contents captured in the models’ activity labels. Read More …
Target audience: Computer Science students with a data science/machine learning/NLP background. Task description: The main task of this Master thesis is to develop and implement a technique that is able to automatically link textual requirements to model-based representations of business process (so-called process models). By doing so, it will be possible to quantify the impact Read More …
Burattin, Andrea, Soffer, Pnina, Fahland, Dirk, Mendling, Jan, Reijers, Hajo A., Vanderfeesten, Irene, Weidlich, Matthias & Weber, Barbara (2018). Who is behind the model? classifying modelers based on pragmatic model features. In Ingo Weber, Jan vom Brocke, Marco Montali & Mathias Weske (Eds.), Business Process Management – 16th International Conference, BPM 2018, Proceedings (pp. 322-338). Read More …
Prof.dr.ir. Hajo Reijers is a part-time, full professor of Information Systems at the Technische Universiteit Eindhoven (TU/e). He is also a full professor in Business Informatics at VU University Amsterdam. He is also affiliated to the TiasNimbas Business School, where he is involved as one of the core lecturers in the Executive Master of Operations Read More …
Looking for a master project? Are you interested in topics like Process Mining, Process Querying and Data extraction?. Take a look at our proposals below. If you are interested, do not hesitate to contact Eduardo González or Hajo Reijers Generation of business reports by means of a process oriented query language Nowadays, most reports are Read More …
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Jalali, A., Maggi, F.M. & Reijers, H.A. (2018). A hybrid approach for aspect-oriented business process modeling. Journal of Software : Evolution and Process, 30(8):e1931 Abstract Separation of concerns has long been an important strategy to deal with complexity when developing a system. Some concerns (like security) are scattered through the whole system, and different modules Read More …
Mannhardt, F. (2018). Multi-perspective process mining. Eindhoven: Technische Universiteit Eindhoven. ((Co-)promot.: Hajo Reijers, Wil van der Aalst & Massimiliano de Leoni).
Koorneef, M., Solti, A., Leopold, H. & Reijers, H.A. (2018). Automatic root cause identification using most probable alignments. In M. Weidlich & E. Teniente (Eds.), Business Process Management Workshops – BPM 2017 International Workshops, Barcelona, Spain, September 10-11, 2017, Revised Papers (pp. 204-215). (Lecture Notes in Business Information Processing, No. 308). Springer. Abstract In many Read More …
González López de Murillas, E., Hoogendoorn, G.E. & Reijers, H.A. (2018). Redo log process mining in real life : data challenges & opportunities. In M. Weidlich & E. Teniente (Eds.), Business Process Management Workshops (pp. 573-587). (Lecture Notes in Business Information Processing, No. 308). Dordrecht: Springer Netherlands. Abstract Data extraction and preparation are the most Read More …
Mendling, J., Weber, I., van der Aalst, W.M.P., vom Brocke, J., Cabanillas, C., Daniel, F., Debois, S., Di Ciccio, C., Dumas, M., Dustdar, S., Gal, A., García-Bañuelos, L., Governatori, G., Hull, R., La Rosa, Marcello, Leopold, Henrik, Leymann, Frank, Recker, Jan, Reichert, Manfred, Reijers, H.A., Rinderlema, Stefanie, Solti, Andreas, Rosemann, Michael, Schulte, Stefan, Singh, Munindar Read More …
Mannhardt, F., de Leoni, M., Reijers, H.A., van der Aalst, W.M.P. & Toussaint, P. (2018). Guided Process Discovery : A Pattern-based Approach. Information Systems, 76, 1-18 Abstract Process mining techniques analyze processes based on events stored in event logs. Yet, low-level events recorded by information systems may not directly match high-level activities that make sense Read More …
TACTICS – Techniques for the Analysis of Client-Team InteraCtionS Description In various care and service settings (e.g. mental healthcare, youth care, social work), teams of professionals interact with clients to improve their well-being. The TACTICS project aims at the development of automated techniques to generate insights into the evolving statuses of such clients as well Read More …
van der Aa, H., Leopold, H. & Reijers, H.A. (2018). Checking process compliance against natural language specifications using behavioral spaces. Information Systems, 78, 83-95 Abstract Textual process descriptions are widely used in organizations since they can be created and understood by virtually everyone. Because of their widespread use, they also provide a valuable source for Read More …
Article Scientific peer reviewed Arriagada-Benítez, M., Sepúlveda, M., Munoz-Gama, J. & Buijs, J.C.A.M. (2017). Strategies to automatically derive a process model from a configurable process model based on event data. Applied Sciences, 7(10):1023. Bolt, A., de Leoni, M. & van der Aalst, W.M.P. (2017). Process variant comparison: using event logs to detect differences in behavior Read More …
Article Scientific peer reviewed Van Der Aa, Han, Leopold, H. & Reijers, H.A. (2016). Dealing with behavioral ambiguity in textual process descriptions. Lecture notes in computer science, 9850, 271-288. Scopus. van der Aa, J.H., Reijers, H.A. & Vanderfeesten, I.T.P. (2016). Designing like a pro : the automated composition of workflow activities. Computers in Industry, 75, Read More …
Article Scientific peer reviewed Adriansyah, Arya, Munoz Gama, Jorge, Carmona, J., van Dongen, Boudewijn & van der Aalst, Wil (2015). Measuring precision of modeled behavior. Information Systems and e-Business Management, 13(1), 37-67. Claes, Jan, Vanderfeesten, Irene, Pinggera, J., Reijers, Hajo, Weber, B. & Poels, G. (2015). A visual analysis of the process of process modeling. Read More …
