Scientific peer reviewed

Unsupervised Anomaly Detection of Prefixes in Event Streams Using Online Autoencoders

Posted onAuthorEric VerbeekLeave a comment

Musaj, Z., & Hassani, M. (2025). Unsupervised Anomaly Detection of Prefixes in Event Streams Using Online Autoencoders. In M. Comuzzi, D. Grigori, M. Sellami, & Z. Zhou (Eds.), Cooperative Information System: 30th International Conference, CoopIS 2024, Porto, Portugal, November 19–21, 2024, Proceedings (pp. 93-110). Springer. https://doi.org/10.1007/978-3-031-81375-7_6 Abstract In this work we address the problem of Read More …

Autoencoder-Based Detection of Delays, Handovers and Workloads over High-Level Events

Posted onAuthorEric VerbeekLeave a comment

Verwijst, I., Mennens, R., Scheepens, R., & Hassani, M. (2025). Autoencoder-Based Detection of Delays, Handovers and Workloads over High-Level Events. In M. Comuzzi, D. Grigori, M. Sellami, & Z. Zhou (Eds.), Cooperative Information Systems: 30th International Conference, CoopIS 2024, Porto, Portugal, November 19–21, 2024, Proceedings (pp. 111-128). (Lecture Notes in Computer Science (LNCS); Vol. 15506). Read More …

Handling Catastrophic Forgetting: Online Continual Learning for Next Activity Prediction

Posted onAuthorEric VerbeekLeave a comment

Verbeek, T., & Hassani, M. (2025). Handling Catastrophic Forgetting: Online Continual Learning for Next Activity Prediction. In M. Comuzzi, D. Grigori, M. Sellami, & Z. Zhou (Eds.), Cooperative Information Systems – 30th International Conference, CoopIS 2024, Proceedings: 30th International Conference, CoopIS 2024, Porto, Portugal, November 19–21, 2024, Proceedings (pp. 225-242). (Lecture Notes in Computer Science Read More …

Outlier-Weighted Traffic Flow Prediction Using Online Autoencoders

Posted onAuthorEric VerbeekLeave a comment

Choudhary, H., Alkhodre, A. B., & Hassani, M. (2025). Outlier-Weighted Traffic Flow Prediction Using Online Autoencoders. In R. Chbeir, S. Ilarri, Y. Manolopoulos, P. Z. Revesz, J. Bernardino, & C. K. Leung (Eds.), Database Engineered Applications: 28th International Symposium, IDEAS 2024, Bayonne, France, August 26–29, 2024, Proceedings (pp. 203-219). (Lecture Notes in Computer Science (LNCS); Read More …

Proceedings of the ICPM Doctoral Consortium and Demo Track 2022 co-located with 4th International Conference on Process Mining (ICPM 2022), Bolzano, Italy, October, 2022

Posted onAuthorEric VerbeekLeave a comment

Hassani, M., Koschmider, A., Comuzzi, M., Maggi, F. M., & Pufahl, L. (Eds.) (2022). Proceedings of the ICPM Doctoral Consortium and Demo Track 2022 co-located with 4th International Conference on Process Mining (ICPM 2022), Bolzano, Italy, October, 2022. (CEUR Workshop Proceedings; Vol. 3299). CEUR-WS.org. https://ceur-ws.org/Vol-3299

On Inferring a Meaningful Similarity Metric for Customer Behaviour

Posted onAuthorEric VerbeekLeave a comment

van den Berg, S., & Hassani, M. (2021). On Inferring a Meaningful Similarity Metric for Customer Behaviour. In Y. Dong, N. Kourtellis, B. Hammer, & J. A. Lozano (Eds.), Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track – European Conference, ECML PKDD 2021, Proceedings (pp. 234-250). (Lecture Notes in Computer Science (including Read More …

The IEEE XES Standard for Process Mining: Experiences, Adoption, and Revision [Society Briefs]

Posted onAuthorEric VerbeekLeave a comment

Wynn, M. T., Van Der Aalst, W., Verbeek, E., & Di Stefano, B. (2024). The IEEE XES Standard for Process Mining: Experiences, Adoption, and Revision [Society Briefs]. IEEE Computational Intelligence Magazine, 19(1), 20-23. https://doi.org/10.1109/MCI.2023.3333141 Abstract The IEEE Standards Association (SA) officially published the XES Standard as IEEE Std 1849-2016: IEEE Standard for eXtensible Event Stream Read More …

Uncovering Patterns for Local Explanations in Outcome-based Predictive Process Monitoring

Posted onAuthorEric VerbeekLeave a comment

Buliga, A., Vazifehdoostirani, M., Genga, L., Lu, X., Dijkman, R. M., Di Francescomarino, C., Ghidini, C., & Reijers, H. A. (2024). Uncovering Patterns for Local Explanations in Outcome-based Predictive Process Monitoring. In A. Marrella, M. Resinas, M. Jans, & M. Rosemann (editors), Business Process Management: 22nd International Conference, BPM 2024, Krakow, Poland, September 1–6, 2024, Read More …

Decomposing Process Performance based on Actor Behavior

Posted onAuthorEric VerbeekLeave a comment

Klijn, E. L., Tentina, I., Fahland, D., & Mannhardt, F. (2024). Decomposing Process Performance based on Actor Behavior. In X. Lu, L. Pufahl, & M. Song (editors), 2024 6th International Conference on Process Mining, ICPM 2024 (blz. 129-136). Artikel 10680657 Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICPM63005.2024.10680657 Abstract Process performance analysis based on event logs Read More …

Discovery of Object-Centric Declarative Models

Posted onAuthorEric VerbeekLeave a comment

Christfort, A. K. F., Rivkin, A., Fahland, D., Hildebrandt, T. T., & Slaats, T. (2024). Discovery of Object-Centric Declarative Models. In X. Lu, L. Pufahl, & M. Song (editors), 2024 6th International Conference on Process Mining, ICPM 2024 (blz. 121-128). Artikel 10680680 Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICPM63005.2024.10680674 Abstract Object-centric process mining views processes Read More …

Explainable Object-Centric Anomaly Detection: the Role of Domain Knowledge

Posted onAuthorEric VerbeekLeave a comment

Berti, A., Jessen, U., van der Aalst, W. M. P., & Fahland, D. (2024). Explainable Object-Centric Anomaly Detection: the Role of Domain Knowledge. In BPM-D 2024: Proceedings of the Best Dissertation Award, Doctoral Consortium, and Demonstration & Resources Forum at BPM 2024 co-located with 22nd International Conference on Business Process Management (BPM 2024) Krakow, Poland, Read More …

Autoencoder-based Continual Outlier Correlation Detection for Real-Time Traffic Flow Prediction

Posted onAuthorEric VerbeekLeave a comment

Choudhary, H., & Hassani, M. (2024). Autoencoder-based Continual Outlier Correlation Detection for Real-Time Traffic Flow Prediction. In 39th Annual ACM Symposium on Applied Computing, SAC 2024 (pp. 218-220) https://doi.org/10.1145/3605098.3636162 Abstract In urban landscapes, traffic congestion, often identified by outlier events like accidents or constructions, poses a significant challenge. These outliers result in abrupt traffic fluctuations, Read More …

Online Next Activity Prediction Under Concept Drifts

Posted onAuthorEric VerbeekLeave a comment

Kosciuszek, T., & Hassani, M. (2024). Online Next Activity Prediction Under Concept Drifts. In J. P. A. Almeida, C. Di Ciccio, & C. Kalloniatis (Eds.), Advanced Information Systems Engineering Workshops: CAiSE 2024 International Workshops, Limassol, Cyprus, June 3–7, 2024, Proceedings (pp. 335-346). (Lecture Notes in Business Information Processing; Vol. 521). https://doi.org/10.1007/978-3-031-61003-5_28 Abstract Existing research in Read More …

Clinical Event Knowledge Graphs: Enriching Healthcare Event Data with Entities and Clinical Concepts – Research Paper

Posted onAuthorEric VerbeekLeave a comment

Aali, M. N., Mannhardt, F., & Toussaint, P. J. (2024). Clinical Event Knowledge Graphs: Enriching Healthcare Event Data with Entities and Clinical Concepts – Research Paper. In J. De Smedt, & P. Soffer (Eds.), Process Mining Workshops – ICPM 2023 International Workshops, 2023, Revised Selected Papers (pp. 296-308). (Lecture Notes in Business Information Processing; Vol. Read More …

Comparing Conformance Checking for Decision Mining: An Axiomatic Approach

Posted onAuthorEric VerbeekLeave a comment

Banham, A., ter Hofstede, A. H. M., Leemans, S. J. J., Mannhardt, F., Andrews, R., & Wynn, M. T. (2024). Comparing Conformance Checking for Decision Mining: An Axiomatic Approach. IEEE Access, 12, 60276-60298. Article 10504896. https://doi.org/10.1109/ACCESS.2024.3391234 Abstract Process mining uses historical executions of business processes (as recorded in an event log) to uncover and describe Read More …

Customer journeys and process mining – challenges and opportunities

Posted onAuthorEric VerbeekLeave a comment

Halvorsrud, R., Mannhardt, F., Prillard, O., & Boletsis, C. (2024). Customer journeys and process mining – challenges and opportunities. In International Conference on Exploring Service Science (IESS 2.4) (Vol. 62, pp. 05002). (ITM Web of Conferences). https://doi.org/10.1051/itmconf/20246205002

Experience-Based Resource Allocation for Remaining Time Optimization

Posted onAuthorEric VerbeekLeave a comment

Padella, A., Mannhardt, F., Vinci, F., De Leoni, M., & Vanderfeesten, I. (2024). Experience-Based Resource Allocation for Remaining Time Optimization. In A. Marrella, M. Resinas, M. Jans, & M. Rosemann (Eds.), Business Process Management: 22nd International Conference, BPM 2024, Krakow, Poland, September 1–6, 2024, Proceedings (pp. 345-362). Article Chapter 20 (Lecture Notes in Computer Science (LNCS); Read More …

The Quest for the Comprehensive Customer Journey – A Case Study from a C2C Marketplace

Posted onAuthorEric VerbeekLeave a comment

Mannhardt, F., Halvorsrud, R., Meironas, O., & Brurok, L. (2024). The Quest for the Comprehensive Customer Journey – A Case Study from a C2C Marketplace. In Business Process Management: Blockchain, Robotic Process Automation, Central and Eastern European, Educators and Industry Forum (Vol. 527, pp. 451-461). Article Chapter 33 (Lecture Notes in Business Information Processing; Vol. 527). https://doi.org/10.1007/978-3-031-70445-1_33

Generating Event Logs with CPN IDE

Posted onAuthorEric VerbeekLeave a comment

Verbeek, E., & Fahland, D. (2023). Generating Event Logs with CPN IDE. In Doctoral Consortium and Demo Track 2023 at the International Conference on Process Mining, ICPM-DCDT 2023 (CEUR Workshop Proceedings; Vol. 3648). Abstract This extended abstract introduces the event log generation facility of CPN IDE. CPN IDE has replaced CPN Tools as a tool Read More …

The biggest business process management problems to solve before we die

Posted onAuthorEric VerbeekLeave a comment

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 …

The Influence of Business Process Management System Implementation on an Organization’s Process Orientation: A Case Study of a Financial Service Provider

Posted onAuthorEric VerbeekLeave a comment

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 …

Online Prediction Threshold Optimization Under Semi-deferred Labelling

Posted onAuthorEric VerbeekLeave a comment

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 …

Multi-Perspective Concept Drift Detection: Including the Actor Perspective

Posted onAuthorEric VerbeekLeave a comment

Klijn, E. L., Mannhardt, F., & Fahland, D. (2024). Multi-perspective Concept Drift Detection: Including the Actor Perspective. In G. Guizzardi, F. Santoro, H. Mouratidis, & P. Soffer (Eds.), Advanced Information Systems Engineering – 36th International Conference, CAiSE 2024, Proceedings (pp. 141-157). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Read More …

Event Knowledge Graphs for Auditing: A Case Study

Posted onAuthorEric VerbeekLeave a comment

Klijn, E. L., Preuss, D., Imeri, L., Baumann, F., Mannhardt, F., & Fahland, D. (2024). Event Knowledge Graphs for Auditing: A Case Study. In J. De Smedt, & P. Soffer (editors), Process Mining Workshops: ICPM 2023 International Workshops, Rome, Italy, October 23–27, 2023, Revised Selected Papers (blz. 84-97). (Lecture Notes in Business Information Processing (LNBIP); Read More …

Implementing Object-Centric Event Data Models in Event Knowledge Graphs

Posted onAuthorEric VerbeekLeave a comment

Swevels, A., Fahland, D., & Montali, M. (2024). Implementing Object-Centric Event Data Models in Event Knowledge Graphs. In J. De Smedt, & P. Soffer (Eds.), Process Mining Workshops – ICPM 2023 International Workshops, 2023, Revised Selected Papers (pp. 431-443). (Lecture Notes in Business Information Processing; Vol. 503 LNBIP). https://doi.org/10.1007/978-3-031-56107-8_33 Abstract Recent advances in object-centric process Read More …

Using Machine Learning Techniques to Support the Emergency Department

Posted onAuthorEric VerbeekLeave a comment

van Delft, R. A. J. J., & de Carvalho, R. M. (2022). Using Machine Learning Techniques to Support the Emergency Department. Computing and Informatics, 41(1), 154-171. https://doi.org/10.31577/CAI_2022_1_154 Abstract This research lays down foundations for a stronger presence of machine learning in the emergency department. Using machine learning to make predictions on a patient’s situation can Read More …

From predictions to recommendations: Tackling bottlenecks and overstaying in the Emergency Room through a sequence of Random Forests

Posted onAuthorEric VerbeekLeave a comment

Verdaasdonk, M. J. A., & de Carvalho, R. M. (2022). From predictions to recommendations: Tackling bottlenecks and overstaying in the Emergency Room through a sequence of Random Forests. Healthcare Analytics, 2, Article 100040. https://doi.org/10.1016/j.health.2022.100040 Abstract One of the goals to improve the quality of care in hospitals is to set a maximum of four hours Read More …

Domain engineering for customer experience management

Posted onAuthorEric VerbeekLeave a comment

Benzarti, I., Mili, H., Medeiros de Carvalho, R., & Leshob, A. (2022). Domain engineering for customer experience management. Innovations in Systems and Software Engineering, 18(1), 171-191. https://doi.org/10.1007/s11334-021-00426-2 Abstract Customer experience management (CXM) denotes a set of practices, processes, and tools, that aim at personalizing a customer’s interactions with a company around the customer’s needs and Read More …

An insight to nurse workload: predicting activities in the next shift and analyzing bedside alarms influence

Posted onAuthorEric VerbeekLeave a comment

de Carvalho, R. M., Nguyen, H., Heetveld, M., & Luime, J. (2022). An insight to nurse workload: predicting activities in the next shift and analyzing bedside alarms influence. In T. X. Bui (Ed.), Proceedings of the 55th Annual Hawaii International Conference on System Sciences, HICSS 2022 (pp. 4108-4117). IEEE Computer Society. Abstract The effects of Read More …

Predicting Patient Care Acuity: An LSTM Approach for Days-to-day Prediction

Posted onAuthorEric VerbeekLeave a comment

Bekelaar, J. W. R., Luime, J. J., & de Carvalho, R. M. (2023). Predicting Patient Care Acuity: An LSTM Approach for Days-to-day Prediction. In M. Montali, A. Senderovich, & M. Weidlich (Eds.), Process Mining Workshops – ICPM 2022 International Workshops, Revised Selected Papers (pp. 378-390). (Lecture Notes in Business Information Processing; Vol. 468 LNBIP). Springer. https://doi.org/10.1007/978-3-031-27815-0_28 Read More …

Identifying the Context of Data Usage to Diagnose Privacy Issues through Process Mining

Posted onAuthorEric VerbeekLeave a comment

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 …

Action-Evolution Petri Nets: a Framework for Modeling and Solving Dynamic Task Assignment Problems

Posted onAuthorEric VerbeekLeave a comment

Lo Bianco, R., Dijkman, R. M., Nuijten, W. P. M., & van Jaarsveld, W. L. (2023). Action-Evolution Petri Nets: a Framework for Modeling and Solving Dynamic Task Assignment Problems. In C. Di Francescomarino, A. Burattin, C. Janiesch, & S. Sadiq (Eds.), Business Process Management: 21st International Conference, BPM 2023, Utrecht, The Netherlands, September 11–15, 2023, Read More …

Analytical Problem Solving Based on Causal, Correlational and Deductive Models

Posted onAuthorEric VerbeekLeave a comment

de Mast, J., Steiner, S., Nuijten, W. P. M., & Kapitan, D. (2023). Analytical Problem Solving Based on Causal, Correlational and Deductive Models. American Statistician, 77(1), 51-61. https://doi.org/10.1080/00031305.2021.2023633 Abstract Many approaches for solving problems in business and industry are based on analytics and statistical modeling. Analytical problem solving is driven by the modeling of relationships Read More …

Scheduling a Real-World Photolithography Area with Constraint Programming

Posted onAuthorEric VerbeekLeave a comment

Deenen, P. C., Nuijten, W. P. M., & Akcay, A. (2023). Scheduling a Real-World Photolithography Area with Constraint Programming. IEEE Transactions on Semiconductor Manufacturing, 36(4), 590-598. Article 10214506. https://doi.org/10.1109/TSM.2023.3304517 Abstract This paper studies the problem of scheduling machines in the photolithography area of a semiconductor manufacturing facility. The scheduling problem is characterized as an unrelated Read More …

Combining Deep Reinforcement Learning with Search Heuristics for Solving Multi-Agent Path Finding in Segment-based Layouts

Posted onAuthorEric VerbeekLeave a comment

Reijnen, R., Zhang, Y., Nuijten, W. P. M., Senaras, C., & Goldak, M. (2021). Combining Deep Reinforcement Learning with Search Heuristics for Solving Multi-Agent Path Finding in Segment-based Layouts. In 2020 IEEE Symposium Series on Computational Intelligence (SSCI 2020) (pp. 2647-2654). Article 9308584 IEEE Press. https://doi.org/10.1109/SSCI47803.2020.9308584 Abstract A multi-agent path finding (MAPF) problem is concerned Read More …

Data-driven Support of Coaches in Professional Cycling using Race Performance Prediction

Posted onAuthorEric VerbeekLeave a comment

Karetnikov, A., Nuijten, W., & Hassani, M. (2021). Data-driven Support of Coaches in Professional Cycling using Race Performance Prediction. In P. Pezarat-Correia, J. Vilas-Boas, & J. Cabri (Eds.), icSPORTS 2021 – Proceedings of the 9th International Conference on Sport Sciences Research and Technology Support (pp. 43-53). SciTePress Digital Library. https://doi.org/10.5220/0010656300003059 Abstract In individual sports, the Read More …

Can we Learn from Outliers? Unsupervised Optimization of Intelligent Vehicle Traffic Management Systems

Posted onAuthorEric VerbeekLeave a comment

Mertens, T., & Hassani, M. (2023). Can we Learn from Outliers? Unsupervised Optimization of Intelligent Vehicle Traffic Management Systems. In M.-R. Amini, S. Canu, A. Fischer, T. Guns, P. Kralj Novak, & G. Tsoumakas (Eds.), Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2022, Grenoble, France, September 19–23, 2022, Proceedings, Part VI Read More …

Conformance checking of process event streams with constraints on data retention

Posted onAuthorEric VerbeekLeave a comment

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 …