Publications
2023
Scholarly publications
van der Werf, J. M. E. M., Polyvyanyy, A., van Wensveen, B. R.
, Brinkhuis, M., & Reijers, H. A. (2023).
All that glitters is not gold: Four maturity stages of process discovery algorithms.
Information Systems,
114, [102155].
https://doi.org/10.1016/j.is.2022.102155 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 before we die.
Computers in Industry,
146, [103837].
https://doi.org/10.1016/j.compind.2022.103837 Stein Dani, V., Leopold, H., van der Werf, J. M., & Reijers, H. (Accepted/In press). Supporting Event Log Extraction based on Matching. In Business Process Management Workshops
2022
Scholarly publications
Zerbato, F.
, Koorn, J. J., Beerepoot, I., Weber, B.
, & Reijers, H. A. (2022).
On the Origin of Questions in Process Mining Projects. In J. P. A. Almeida, D. Karastoyanova, G. Guizzardi, M. Montali, F. M. Maggi, & C. M. Fonseca (Eds.),
Enterprise Design, Operations, and Computing : 26th International Conference, EDOC 2022, Bozen-Bolzano, Italy, October 3–7, 2022, Proceedings (1 ed., pp. 165-181). (Lecture Notes in Computer Science ; Vol. 13585 ). Springer Cham.
https://doi.org/10.1007/978-3-031-17604-3_10Post, R.
, Beerepoot, I., Lu, X., Kas, S., Wiewel, S., Koopman, A.
, & Reijers, H. (2022).
Active Anomaly Detection for Key Item Selection in Process Auditing. In J. Munoz-Gama, & X. Lu (Eds.),
Process Mining Workshops: ICPM 2021 International Workshops, Eindhoven, The Netherlands, October 31 – November 4, 2021, Revised Selected Papers (1 ed., pp. 167-179). (Lecture Notes in Business Information Processing; Vol. 433 ). Springer Cham.
https://doi.org/10.1007/978-3-030-98581-3_13Waal, W. V. D., Beerepoot, I., Weerd, I. V. D., & Reijers, H. A. (2022).
The SWORD is Mightier Than the Interview: A Framework for Semi-automatic WORkaround Detection. In C. Di Ciccio, R. Dijkman, A. del Río Ortega, & S. Rinderle-Ma (Eds.),
Business Process Management: 20th International Conference, BPM 2022, Münster, Germany, September 11–16, 2022, Proceedings (1 ed., pp. 91-106). (Lecture Notes in Computer Science; Vol. 13420). Springer Cham.
https://doi.org/10.1007/978-3-031-16103-2_9,
https://doi.org/10.1007/978-3-031-16103-2_9https://dspace.library.uu.nl/bitstream/handle/1874/423163/SWORD.pdf?sequence=1 Lee, S., Lu, X., & Reijers, H. (2022).
The Analysis of Online Event Streams: Predicting the Next Activity for Anomaly Detection. In R. Guizzardi, J. Ralyté, & X. Franch (Eds.),
Research Challenges in Information Science: 16th International Conference, RCIS 2022, Barcelona, Spain, May 17–20, 2022, Proceedings (pp. 248-264). (Lecture Notes in Business Information Processing; Vol. 446 LNBIP). Springer.
https://doi.org/10.1007/978-3-031-05760-1_15 Munoz-Gama, J., Martin, N., Fernandez-Llatas, C., Johnson, O. A., Sepúlveda, M., Helm, E.
, Galvez-Yanjari, V., Rojas, E., Martinez-Millana, A., Aloini, D., Amantea, I. A., Andrews, R., Arias, M.
, Beerepoot, I., Benevento, E., Burattin, A., Capurro, D., Carmona, J., Comuzzi, M., ... Zerbato, F. (2022).
Process Mining for Healthcare: Characteristics and Challenges.
Journal of Biomedical Informatics,
127, 1-15. [103994].
https://doi.org/10.1016/j.jbi.2022.103994Stein Dani, V., ER, M.
, Koorn, J., van der Werf, J. M., Leopold, H., & Reijers, H. (2022).
Pair Modeling: Does One Plus One Add Up? In A. Marrella, & B. Weber (Eds.),
Business Process Management Workshops: BPM 2021 International Workshops, Rome, Italy, September 6–10, 2021, Revised Selected Papers (pp. 261-272). (Lecture Notes in Business Information Processing; Vol. 436 LNBIP). Springer.
https://doi.org/10.1007/978-3-030-94343-1_20 Stein Dani, V., Leopold, H., van der Werf, J. M., Lu, X., Beerepoot, I., Koorn, J., & Reijers, H. (2022).
Towards Understanding the Role of the Human in Event Log Extraction. In A. Marrella, & B. Weber (Eds.),
Business Process Management Workshops: BPM 2021 International Workshops, Rome, Italy, September 6–10, 2021, Revised Selected Papers (pp. 86-98). (Lecture Notes in Business Information Processing; Vol. 436 LNBIP). Springer.
https://doi.org/10.1007/978-3-030-94343-1_7 Koorn, J. J., Lu, X., Leopold, H., & Reijers, H. A. (2022). Mining Statistical Relations for Better Decision Making in Healthcare Processes.
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. In
Proceedings of the 55th Hawaii International Conference on System Sciences (pp. 1-10)
https://doi.org/http://hdl.handle.net/10125/79839 2021
Scholarly publications
Andel, V. V.
, Beerepoot, I., Lu, X., Weerd, I. V. D., & Reijers, H. A. (2021).
DEUCE - A Methodology for Detecting Unauthorized Access of Electronic Health Records Using Process Mining.. Paper presented at 29th European Conference on Information Systems, ECIS 2021, Marrakech, Morocco.
https://aisel.aisnet.org/ecis2021_rp/66Koorn, J. J., Lu, X., Leopold, H., & Reijers, H. A. (2021). From Action to Response to Effect: Mining Statistical Relations in Work Processes. Information Systems.
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, Rome, Italy, September 06–10, 2021, Proceedings (1 ed., pp. 289-305). (Lecture Notes in Computer Science; Vol. 12875). Springer Cham.
https://doi.org/10.1007/978-3-030-85469-0_19Leyer, 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, 1-11. [103346].
https://doi.org/10.1016/j.compind.2020.103346Aysolmaz, B.
, & Reijers, H. A. (2021).
Animation as a dynamic visualization technique for improving process model comprehension.
Information and Management,
58(5), 1-19. [103478].
https://doi.org/10.1016/j.im.2021.103478Koorn, J. J., Beerepoot, I., Dani, V. S., Lu, X., Weerd, I. V. D., Leopold, H., & Reijers, H. A. (2021).
Bringing Rigor to the Qualitative Evaluation of Process Mining Findings: An Analysis and a Proposal. In C. Di Ciccio, C. Di Francescomarino, & P. Soffer (Eds.),
Proceedings - 2021 3rd International Conference on Process Mining, ICPM 2021 (pp. 120-127). Institute of Electrical and Electronics Engineers Inc..
https://doi.org/10.1109/icpm53251.2021.9576877 Beerepoot, I., Di Ciccio, C., Marrella, A.
, Reijers, H. A., Rinderle-Ma, S., & Weber, B. (2021).
Preface.
CEUR Workshop Proceedings,
2938.
http://ceur-ws.org/Vol-2938/https://dspace.library.uu.nl/bitstream/handle/1874/418919/xpreface.pdf?sequence=1 van der Werf, J. M. E. M., Polyvyanyy, A., van Wensveen, B. R.
, Brinkhuis, M., & Reijers, H. A. (2021).
All that Glitters Is Not Gold: Towards Process Discovery Techniques with Guarantees. In M. La Rosa, S. Sadiq, & E. Teniente (Eds.),
Advanced Information Systems Engineering: 33rd International Conference, CAiSE 2021, Melbourne, VIC, Australia, June 28 – July 2, 2021, Proceedings (1 ed., pp. 141-157). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12751). Springer Cham.
https://doi.org/10.1007/978-3-030-79382-1_9 Neubauer, T. R., Peres, S. M.
, Fantinato, M., Lu, X., & Reijers, H. A. (2021).
Interactive clustering: a scoping review.
Artificial Intelligence Review,
54, 2765–2826.
https://doi.org/10.1007/s10462-020-09913-72020
Scholarly publications
Pika, A., Wynn, M. T., Budiono, S., Hofstede, A. H. M. T., Aalst, W. V. D.
, & Reijers, H. A. (2020).
Privacy-preserving process mining in healthcare.
International Journal of Environmental Research and Public Health,
17(5), 1-28. [1612].
https://doi.org/10.3390/ijerph17051612Figl, K., Ciccio, C. D.
, & Reijers, H. A. (2020).
Do Declarative Process Models Help to Reduce Cognitive Biases Related to Business Rules? In G. Dobbie, U. Frank, G. Kappel, S. W. Liddle, & H. C. Mayr (Eds.),
Conceptual Modeling: 39th International Conference, ER 2020, Vienna, Austria, November 3–6, 2020, Proceedings (1 ed., pp. 119-133). (Lecture Notes in Computer Science; Vol. 12400). Springer Cham.
https://doi.org/10.1007/978-3-030-62522-1_9Aa, H. V. D.
, 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.
https://doi.org/10.1109/TKDE.2019.2897557Murillas, E. G. L. D.
, Reijers, H. A., & Aalst, W. V. D. (2020).
Case notion discovery and recommendation: automated event log building on databases.
Knowledge and Information Systems,
62, 2539–2575.
https://doi.org/10.1007/s10115-019-01430-6Castro, C. F.
, Fantinato, M., Aksu, Ü., Reijers, H. A., & Thom, L. H. (2020).
Systematizing the Relationship Between Business Processes’ and Web Services’ Non-functional Requirements. In J. Filipe, M. Smialek, A. Brodsky, & S. Hammoudi (Eds.),
Enterprise Information Systems - 21st International Conference, ICEIS 2019, Revised Selected Papers (pp. 473-497). (Lecture Notes in Business Information Processing; Vol. 378 LNBIP). Springer.
https://doi.org/10.1007/978-3-030-40783-4_23Senderovich, A.
, Schippers, J. J., & Reijers, H. A. (2020).
Socially-aware business process redesign. In D. Fahland, C. Ghidini, J. Becker, & M. Dumas (Eds.),
Business Process Management - 18th International Conference, BPM 2020, Proceedings (pp. 75-92). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12168 LNCS). Springer Science and Business Media Deutschland GmbH.
https://doi.org/10.1007/978-3-030-58666-9_5Lu, X., Gal, A.
, & Reijers, H. A. (2020).
Discovering hierarchical processes using flexible activity trees for event abstraction. In B. van Dongen, M. Montali, & M. T. Wynn (Eds.),
2020 2nd International Conference on Process Mining (ICPM) (pp. 145-152). [9230087] Institute of Electrical and Electronics Engineers Inc..
https://doi.org/10.1109/ICPM49681.2020.00030 Noppen, P.
, Beerepoot, I., van de Weerd, I., Jonker, M.
, & Reijers, H. A. (2020).
How to Keep RPA Maintainable? In D. Fahland, C. Ghidini, J. Becker, & M. Dumas (Eds.),
Business Process Management: 18th International Conference, BPM 2020, Seville, Spain, September 13–18, 2020, Proceedings (pp. 453-470). (Lecture Notes in Computer Science; Vol. 12168 ). Springer Cham.
https://doi.org/10.1007/978-3-030-58666-9_26Syed, R., Suriadi, S., Adams, M., Bandara, W., Leemans, S. J. J., Ouyang, C., ter Hofstede, A. H. M.
, van de Weerd, I., Wynn, M. T.
, & Reijers, H. A. (2020).
Robotic Process Automation: Contemporary themes and challenges.
Computers in Industry,
115, [103162].
https://doi.org/10.1016/j.compind.2019.1031622019
Scholarly publications
Amaral, C. A. L.
, Fantinato, M., Reijers, H. A., & Peres, S. M. (2019).
Enhancing Completion Time Prediction Through Attribute Selection. In
Information Technology for Management: Emerging Research and Applications: 15th Conference, AITM 2018, and 13th Conference, ISM 2018, Held as Part of FedCSIS, Poznan, Poland, September 9–12, 2018 (pp. 3-23). (Lecture Notes in Business Information Processing ; Vol. 346). Springer.
https://doi.org/10.1007/978-3-030-15154-6_1Avila, D. T., Cigana, R. P.
, Fantinato, M., Reijers, H. A., Mendling, J., & Thom, L. H. (2019).
An Experiment to Analyze the Use of Process Modeling Guidelines to Create High-Quality Process Models. In
Database and Expert Systems Applications: 30th International Conference, DEXA 2019, Linz, Austria, August 26–29, 2019, Proceedings, Part II (pp. 129-139). (Lecture Notes in Computer Science; Vol. 11707). Springer.
https://doi.org/10.1007/978-3-030-27618-8_10Dees, M., Leoni, M. D., Aalst, W. V. D.
, & Reijers, H. A. (2019).
What if process predictions are not followed by good recommendations? In
17th International Conference on Business Process Management 2019 Industry Forum: Proceedings of the Industry Forum at BPM 2019 co-located with 17th International Conference on Business Process Management (BPM 2019) (pp. 61-72). CEUR-WS.org.
https://dspace.library.uu.nl/bitstream/handle/1874/420270/paper6.pdf?sequence=1Aysolmaz, 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, 1155-1178.
https://doi.org/10.1007/s10270-017-0648-zMurillas, E. G. L. D.
, Reijers, H. A., & Aalst, W. V. D. (2019).
Connecting databases with process mining: a meta model and toolset.
Software and Systems Modeling.
https://doi.org/10.1007/s10270-018-0664-7Leopold, H., Aa, H. V. D., 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.
https://doi.org/10.1016/j.is.2019.02.005 Tabatabaei, S. A.
, Lu, X., Hoogendoorn, M.
, & Reijers, H. A. (Accepted/In press).
Identifying Patient Groups based on Frequent Patterns of Patient Samples. In
IEEE Healthcom (Vol. abs/1904.01863). (CoRR).
http://arxiv.org/abs/1904.01863Lu, X., Tabatabaei, S. A., Hoogendoorn, M.
, & Reijers, H. A. (2019).
Trace Clustering on Very Large Event Data in Healthcare Using Frequent Sequence Patterns. In T. Hildebrandt (Ed.),
Business Process Management: 17th International Conference, BPM 2019, Vienna, Austria, September 1–6, 2019, Proceedings (pp. 198-215). (Lecture Notes in Computer Science; Vol. 11675). Springer.
https://doi.org/10.1007/978-3-030-26619-6_14 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 Vienna, Austria, September 1-6, 2019 : revised selected papers (pp. 338-350). (Lecture notes in business information processing; Vol. 362). Springer International Publishing Switzerland.
https://doi.org/10.1007/978-3-030-37453-2_28 Koorn, J. J., Lu, X., Leopold, H., & Reijers, H. A. (2019).
Towards Understanding Aggressive Behavior in Residential Care Facilities Using Process Mining. In G. Guizzardi, & F. Gailly (Eds.),
International Conference on Conceptual Modeling (pp. 135-145). (Lecture Notes in Computer Science; Vol. 11787). Springer Cham.
https://doi.org/10.1007/978-3-030-34146-6_12 Beerepoot, I. M., Koorn, J. J., van de Weerd, G. C., van den Hoof, B., Leopold, H., & Reijers, H. A. (2019). Working around health information systems: The role of power.
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 Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11675 LNCS). Springer.
https://doi.org/10.1007/978-3-030-26619-6_26 Aksu, Ü., del-Río-Ortega, A., Resinas, M.
, & Reijers, H. A. (2019).
An Approach for the Automated Generation of Engaging Dashboards. In H. Panetto, C. Debruyne, M. Hepp, D. Lewis, C. A. Ardagna, & R. Meersman (Eds.),
On the Move to Meaningful Internet Systems: OTM 2019 Conferences (pp. 363-384). (LNCS; Vol. 11877). Springer International Publishing Switzerland.
https://dspace.library.uu.nl/bitstream/handle/1874/390086/Beerepoot2019_Chapter_BusinessProcessImprovementActi.pdf?sequence=1 Borges, E. S.
, Fantinato, M., Aksu, Ü., Reijers, H. A., & Thom, L. H. (2019).
Monitoring of Non-functional Requirements of Business Processes based Tn Quality of Service Attributes of Web Services. In S. Hammoudi, M. Smialek, A. Brodsky, & J. Filipe (Eds.),
ICEIS 2019 - Proceedings of the 21st International Conference on Enterprise Information Systems (Vol. 2, pp. 588-595). SciTePress.
https://dspace.library.uu.nl/bitstream/handle/1874/390085/d4c7b79120beba09fd1a859f83c42ab7b8f5.pdf?sequence=1Aksu, Ü., Schunselaar, D. M. M.
, & Reijers, H. A. (2019).
Automated Prediction of Relevant Key Performance Indicators for Organizations. In W. Abramowicz, & R. Corchuelo (Eds.),
Business Information Systems - 22nd International Conference, BIS 2019, Proceedings (pp. 283-299). (Lecture Notes in Business Information Processing; Vol. 353). Springer.
https://doi.org/10.1007/978-3-030-20485-3_22 Castro, C. F.
, Fantinato, M., Aksu, Ü., Reijers, H. A., & Thom, L. H. (2019).
Towards a conceptual framework for decomposing non-functional Requirements of business process into quality of service attributes. In J. Filipe, A. Brodsky, M. Smialek, & S. Hammoudi (Eds.),
ICEIS 2019 - Proceedings of the 21st International Conference on Enterprise Information Systems (Vol. 2, pp. 481-492). SciTePress.
https://dspace.library.uu.nl/bitstream/handle/1874/420191/76565.pdf?sequence=12018
Scholarly publications
Burattin, A., Soffer, P., Fahland, D., Mendling, J.
, Reijers, H. A., Vanderfeesten, I., Weidlich, M., & Weber, B. (2018).
Who is behind the model? classifying modelers based on pragmatic model features. In
Business Process Management - 16th International Conference, BPM 2018, Proceedings https://doi.org/10.1007/978-3-319-98648-7_19Jalali, 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].
https://doi.org/10.1002/smr.1931Mendling, J., Weber, I., Aalst, W. V. D., Brocke, J. V., Cabanillas, C., Daniel, F., Debois, S., Ciccio, C. D., Dumas, M., Dustdar, S., Gal, A., García-Bañuelos, L., Governatori, G., Hull, R., Rosa, M. L.
, Leopold, H., Leymann, F., Recker, J., Reichert, M., ... Zhu, L. (2018).
Blockchains for business process management - Challenges and opportunities.
ACM Transactions on Management Information Systems.
https://doi.org/10.1145/3183367Aa, H. V. D.
, Leopold, H., & Reijers, H. A. (2018).
Checking process compliance against natural language specifications using behavioral spaces.
Information Systems.
https://doi.org/10.1016/j.is.2018.01.0072017
Scholarly publications
Van Der Schuur, H., Van De Ven, E., De Jong, R., Schunselaar, D.
, Reijers, H. A., Overeem, M., De Graaf, M.
, Jansen, S., & Brinkkemper, S. (2017).
NEXT: Generating tailored ERP applications from ontological enterprise models. In E. Serral Asensio, M. Snoeck, G. Poels, & F. Gailly (Eds.),
The Practice of Enterprise Modeling: 10th IFIP WG 8.1. Working Conference, PoEM 2017, Proceedings (pp. 283-298). (Lecture Notes in Business Information Processing; Vol. 305). Springer Verlag.
https://doi.org/10.1007/978-3-319-70241-4_19 Aksu, Ü., Schunselaar, D. M. M., & Reijers, H. A. (2017). An Approach for Automatically Deriving Key Performance Indicators from Ontological Enterprise Models. In 7th International Symposium on Data-driven Process Discovery and Analysis (SIMPDA 2017) (Vol. 2016)
van der Aa, H., van de Weerd, I., Leopold, H., & Reijers, H. A. (2017). Causes and consequences of fragmented process information: Insights from a case study. In AMCIS 2017 - America's Conference on Information Systems: A Tradition of Innovation (Vol. 2017-August). Americas Conference on Information Systems.
2016
Scholarly publications
Schunselaar, D. M. M.
, Gulden, J., Schuur, H. V. D., & Reijers, H. A. (2016).
A Systematic Evaluation of Enterprise Modelling Approaches on Their Applicability to Automatically Generate ERP Software.. 290-299.
https://doi.org/10.1109/CBI.2016.40Aksu, U., Schunselaar, D. M. M.
, & Reijers, H. A. (2016).
A Cross-Organizational Process Mining Framework for Obtaining Insights from Software Products: Accurate Comparison Challenges. In C. Huemer, I. Wattiau, G. Poels, F. Matthes, J. Sanz, & E. Kornyshova (Eds.),
Proceedings - CBI 2016: 18th IEEE Conference on Business Informatics (Vol. 1, pp. 153-162). [7780310] Institute of Electrical and Electronics Engineers Inc..
https://doi.org/10.1109/CBI.2016.25 2015
Scholarly publications