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 …

Identify Typical Process Optimization Use Cases for the Analysis of Interacting Instances of Different Processes Together (Process/data analyst intern)

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 …

Develop a Query Language for Event Data of Many Interacting Processes

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 …

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 …

Doing Legal Research Differently

Where Moonlit.ai (https://www.moonlit.ai) offers three very challenging NLP thesis topics. We are an Amsterdam bases startup incubated by Deloitte. While writing your thesis you will become part of the team and help out with various CS related problems. Depending on your skills and wishes, we can make it work. Legal argumentation miner Within court cases, Read More …

Identification of the Clinical Access Point such that KPI Tracking per Case is Supported

Healthcare is under a constant pressure to be more cost efficient. The reimbursements that healthcare providers receive for interventions are more and more tailored to the case and the way the case is carried out. A good example is that in North America, reimbursements are higher for cases that are done via radial access than Read More …

Detection and Prediction of Workflow Phases Using Identification and Prediction of Key Workflow Events

The need to understand users lies at the core of product design process, but traditional approaches of studying user behavior carry potential limitations. Therefore, making use of the data logged from the user interaction with the system, provides one with factual insights on user behavior to correctly identify and understand their needs and the actual Read More …

Explainable Industrial Optimizers

DELMIA Quintiq develops widely used optimizers providing high-quality solutions across a breadth of industries. Human planners, as users of the optimizers, possess substantial soft knowledge, which is often difficult or expensive to capture in mathematical optimization algorithms. The aim of the Explainable Industrial Optimizers project is to promote cooperative planning by the human users and Read More …

Process Mining for “Thinking Assistants” in Logistics

Summary In the context of the “Process Mining in Logistics” research project between Vanderlande Industries, we are offering multiple Master projects aimed at laying the foundations for a “Thinking Assistant” for large-scale material handling systems.  Such a “Thinking Assistant” shall support engineers and operators in faster identifying problems and root-causes, predicting possible problems, and proposing Read More …

ProM 6.11 released

Today, October 13th, 2021, ProM 6.11 has been released. The framework of ProM 6.11 fixes a bug that resulted in an attempt to show a modal dialog even when using the (headless) CLI context. New packages in ProM 6.11 AdvancedEventLogFiltering 6.11.38, by Daniel Tacke genannt Unterberg CounterfactualExplanation 6.11.8, by Mahnaz Qafari ERPSimulator 6.11.1, by Gyunam 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 …

Closing the process mining circle with CPN IDE

CPN Tools is a tool that is well-known in the Petri net community. CPN Tools provides a mature environment for constructing, simulating, and performing analysis of CPN (Coloured Petri Net) models. CPN Tools consists of an ML-based CPN simulator (the back-end), and a CPN editor (the front-end) that has been developed in the BETA programming Read More …

Predicting the need of Nursing or Care Home and Home Care

(Verpleeg- en Verzorgingshuizen en Thuiszorg (VVT) in Dutch)  The St. Antonius hospital in Nieuwegein is an ambitious top clinical training hospital. Every year, more than 40,000 patients are admitted, of which 6,000 patients go home through Care Mediation with home care or to a nursing or care home. This outflow is very erratic with seasonal influences. At 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 …