Lo Bianco, R., Dijkman, R. M., & Nuijten, W. P. M. (2024). A Universal Approach to Feature Representation in Dynamic Task Assignment Problems. In A. Marrella, M. Resinas, M. Jans, & M. Rosemann (Eds.), Business Process Management Forum: BPM 2024 Forum, Krakow, Poland, September 1-6, 2024, Proceedings (pp. 197-213). Springer. https://doi.org/10.1007/978-3-031-70418-5_12 Abstract Dynamic task assignment Read More …
vom Brocke, J., van der Aalst, W. M. P., Berente, N., van Dongen, B. F., Grisold, T., Kremser, W., Mendling, J., Pentland, B. T., Roeglinger, M., Rosemann, M., & Weber, B. (2024). Process science: the interdisciplinary study of socio-technical change. Process Science, 1(1), Artikel 1. https://doi.org/10.1007/s44311-024-00001-5 Abstract Process science is the interdisciplinary study of socio-technical Read More …
Jessen, U., & Fahland, D. (2024). WISE: Unraveling Business Process Metrics with Domain Knowledge. https://doi.org/10.48550/arXiv.2410.04387
Berti, A., Jessen, U., van der Aalst, W. M. P., & Fahland, D. (2024). Challenges of Anomaly Detection in the Object-Centric Setting: Dimensions and the Role of Domain Knowledge. arXiv.org. https://doi.org/10.48550/arXiv.2407.09023 Abstract Object-centric event logs, allowing events related to different objects of different object types, represent naturally the execution of business processes, such as ERP Read More …
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 …
Fahland, D., Montali, M., Lebherz, J., van der Aalst, W. M. P., van Asseldonk, M., Blank, P., Bosmans, L., Brenscheidt, M., Di Ciccio, C., Delgado, A., Calegari, D., Peeperkorn, J., Verbeek, E., Vugs, L., & Wynn, M. T. (2024). Towards a Simple and Extensible Standard for Object-Centric Event Data (OCED) – Core Model, Design Space, Read More …
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 …
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 …
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 …
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 …
Yorick Spenrath has recently been featured in both Cursor and Eindhovens Dagblad for his innovative research on predicting supermarket consumer behavior. Spenrath’s study, which analyzed close to 70 million receipts, focuses on how supermarkets can use mathematical models to understand and forecast customer participation in loyalty programs and promotional campaigns. Source: TU/e sharepoint
On November 1st, 2024, Liliia Aliakberova and Abd Alrhman Abu Sbeit started as a PhD student and scientific engineer in the PA group. Liliia will be working under the supervision of Francesca Zerbato, while Abd Alrhman will be working under the supervision of Dirk Fahland on the Auto-Twin project. A big welcome to Liliia and Read More …
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 …
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 …
On October 1st, 2024, Minshuo Li started as a PhD student in the PA group. He will be working under the supervision of Wim Nuijten, A big welcome to Minshuo!
Today, September 30st, ProM 6.14 has been released. This is the first release of ProM for which GitHub was used during development.
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 …
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 …
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
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 …
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
Have you ever analyzed some event data and wondered if the steps you take impact the results you get?Or whether the result you obtain match what you expected to find? These are common challenges faced by process mining analysts, who analyze large sets of event data to gain insights into how business processes are executed. Read More …
Objectives The winter school will bring students together from different technical majors to work jointly on a business development process, where they learn to: Apply practical tools and templates to extend their entrepreneurial skills Analyse a business case and propose a domain plan and business plan Raise self-awareness by reflecting on their motivations, ambitions and Read More …
General learning goals Use basic statistical concepts and techniques and perform appropriate statistical tests Choose and apply suitable visualization techniques Analyze and model data using linear regression, clustering, decision tree mining and association rules learning Read and make simple database schemes and simple queries to a database. Clean data, choose and apply data transformations, data Read More …
Objectives In this meeting the student gets insight into the study program.
Objectives In this meeting the student gets insight into the study program.
Objectives Non Bachelor Data Science wanting to register for this course should reach out to program management via mcs.academic.advisor.bds@tue.nl for formal approval After taking the course, students are able to independently apply and follow established data science research methods for a given problem and data set access, process, and reason about a large, complex dataset given Read More …
Objectives In this meeting the student gets insight into the study program.
Objectives The main learning objective of FPM is to be able to understand the relation between sequential multi-variate event data and processes and, ultimately, to learn how to properly apply data science methods in the context of processes. Specifically, the following learning objectives are intended: to be able to identify challenges and requirements for using Read More …
Objectives This seminar combines teaching research methods (in preparation for a Master project) with providing students with recent and ongoing research in the area of event data analysis and process analysis. We study recent research articles, book chapters, and Master theses on topics along the entire analysis life-cycle. Through presentation and group discussions, we work Read More …
Objectives After taking this course students should be able to: have a detailed understanding of the entire process mining spectrum and the methodology for process mining analysis can derive and pre-process event logs from raw data and have understand and can work with a specialized form of event data such as event knowledge graphs, or Read More …
The Study & Career Orientation Program is intended to support the students in a structured way in their decision-making process towards graduation with a research group of their preference and to prepare students for making choices regarding their future career. The program is mandatory for all students in the DSAI, CSE, IST and ES programs Read More …
Objectives At the end of the Preparation Phase the student is able to (context [C], research question [Q] and project preparation [P]): [C1] summarize and discuss the problem context, domain-knowledge, and the requirements these set [C2] demonstrate an understanding of and discuss the relevant state-of-the-art in research and other prior work in academia (and the organization). [Q1] formulate one or more research questions relevant with respect to the given context and state-of-the-art Read More …
Objectives Non Bachelor Data Science wanting to register for this course should reach out to program management via mcs.academic.advisor.bds@tue.nl for formal approval After taking this course students should be able to independently: recognize the phases of data analytics research and divide the research process in these phases familiarize themselves with techniques to understand a complex dataset Read More …
Objectives After taking this course students should: have a good understanding of process mining, understand the role of data science in today’s society, be able to relate process mining techniques to other analysis techniques such as simulation, business intelligence, data mining, machine learning, and verification, be able to apply basic process discovery techniques to learn Read More …
Objectives Acquire state-of-the-art scientific knowledge of a particular topic in the information systems domain. Typical topics are process modeling, workflow management, process mining, web services, service oriented architectures, language transformations, etc. Content People interested in the ‘process side’ of information systems can take the course ‘Capita selecta architecture of information systems’. This course will be Read More …
