CPN IDE: An Extensible Replacement for CPN Tools That Uses Access/CPN

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 …

Narration as a Technique to Improve Process Model Comprehension: Tell Me What I Cannot See

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 …

Process mining for healthcare: Characteristics and challenges

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 …

Uncovering Complex Relations in Patient Pathways based on Statistics: the Impact of Clinical Actions

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 …

Animation as a dynamic visualization technique for improving process model comprehension

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 …

From Symbolic RPA to Intelligent RPA: Challenges for Developing and Operating Intelligent Software Robots

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 …

Conformance Checking: A Systemic View

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 …

A Framework for Efficient Memory Utilization in Online Conformance Checking

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 …

Conformance checking of mixed-paradigm process models

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 …

Prefix Imputation of Orphan Events in Event Stream Processing

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 …

What Averages Do Not Tell – Predicting Real Life Processes with Sequential Deep Learning

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 …

Actionable Conformance Checking: From Intuitions to Code

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 …

Augmented Business Process Management Systems: A Research Manifesto

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

Inferring Unobserved Events in Systems With Shared Resources and Queues

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 …

Multi-Dimensional Event Data in Graph Databases

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 …

Process Discovery Using Graph Neural Networks

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 …

Striking a new Balance in Accuracy and Simplicity with the Probabilistic Inductive Miner

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 …

Business Process Management – 18th International Conference, BPM 2020, Seville, Spain, September 13-18, 2020, Proceedings

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

Business Process Management Forum – BPM Forum 2020, Seville, Spain, September 13-18, 2020, Proceedings

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

Information-preserving abstractions of event data in process mining

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 …

Detecting Privacy, Data and Control-Flow Deviations in Business Processes

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 …

Protecting Citizens’ Personal Data and Privacy: Joint Effort from GDPR EU Cluster Research Projects

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 …

Designing Micro-intelligences for Situated Affective Computing

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 …

Predicting Next Touch Point In A Customer Journey – A Use Case In Telecommunication

Hassani, M., & Habets, S. (2021). Predicting Next Touch Point In A Customer Journey – A Use Case In Telecommunication. In 35th ECMS INTERNATIONAL CONFERENCE ON MODELLING AND SIMULATION (1 ed., Vol. 35, pp. 48-54). (Proceedings – European Council for Modelling and Simulation, ECMS). https://doi.org/10.7148/2021-0048 Abstract Customer journey analysis is rapidly increasing in popularity, as Read More …

Privacy and Confidentiality in Process Mining – Threats and Research Challenges

Elkoumy, G., Fahrenkrog-Petersen, S. A., Sani, M. F., Koschmider, A., Mannhardt, F., Voigt, S. N. V., Rafiei, M., & Waldthausen, L. V. (Accepted/In press). Privacy and Confidentiality in Process Mining – Threats and Research Challenges. ACM Transactions on Management Information Systems, XX(X). https://arxiv.org/abs/2106.00388 Abstract Privacy and confidentiality are very important prerequisites for applying process mining Read More …

Classifying and Detecting Task Executions and Routines in Processes Using Event Graphs

Klijn, E. L., Mannhardt, F., & Fahland, D. (2021). Classifying and Detecting Task Executions and Routines in Processes Using Event Graphs. In A. Polyvyanyy, M. T. Wynn, A. Van Looy, & M. Reichert (Eds.), Business Process Management Forum, BPM 2021, Proceedings (pp. 212-229). (Lecture Notes in Business Information Processing; Vol. 427 LNBIP). https://doi.org/10.5281/zenodo.5091610, https://doi.org/10.1007/978-3-030-85440-9_13 Abstract Business Read More …

Process discovery using in-database minimum self distance abstractions

Syamsiyah, A., & Leemans, S. J. J. (2020). Process discovery using in-database minimum self distance abstractions. In 35th Annual ACM Symposium on Applied Computing, SAC 2020 (pp. 26-35). Association for Computing Machinery, Inc. https://doi.org/10.1145/3341105.3373846 Abstract Process executions generate event data that are typically stored in legacy information systems, such as databases. However, process discovery, which Read More …

The Log Skeleton Visualizer in ProM 6.9

Verbeek, H.M.W. The Log Skeleton Visualizer in ProM 6.9. Int J Softw Tools Technol Transfer (2021). https://doi.org/10.1007/s10009-021-00618-y Abstract Process discovery is an important area in the field of process mining. To help advance this area, a process discovery contest (PDC) has been set up, which allows us to compare different approaches. At the moment of Read More …

Business Process Management: The evolution of a discipline

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 …

Process training for industrial organisations using 3D environments: An empirical analysis

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 …

Efficient process conformance checking on the basis of uncertain event-to-activity mappings

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 …

Privacy-preserving process mining in healthcare

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 …

Working around health information systems: To accept or not to accept?

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 …