Clustering-based Aggregations for Prediction in Event Streams
Spenrath, Y., Hassani, M., & Dongen, B. F. V. (2022). Clustering-based Aggregations for Prediction in Event Streams. CoRR, abs/2210.09738. https://doi.org/10.48550/arXiv.2210.09738
Author: Eric Verbeek
Aggregating Event Knowledge Graphs for Task Analysis
Klijn, E. L., Mannhardt, F., & Fahland, D. (2023). Aggregating Event Knowledge Graphs for Task Analysis. In M. Montali, A. Senderovich, & M. Weidlich (Eds.), Process Mining Workshops – ICPM 2022 International Workshops, Revised Selected Papers (pp. 493-505). (Lecture Notes in Business Information Processing; Vol. 468 LNBIP). Springer. https://doi.org/10.1007/978-3-031-27815-0_36 Abstract Aggregation of event data is a Read More …
Building User Journey Games from Multi-party Event Logs
Kobialka, P., Mannhardt, F., Tapia Tarifa, S. L., & Johnsen, E. B. (2023). Building User Journey Games from Multi-party Event Logs. In M. Montali, A. Senderovich, & M. Weidlich (Eds.), Process Mining Workshops – ICPM 2022 International Workshops, Revised Selected Papers (pp. 71-83). (Lecture Notes in Business Information Processing; Vol. 468 LNBIP). Springer. https://doi.org/10.1007/978-3-031-27815-0_6 Abstract To Read More …
Early Predicting the Need for Aftercare Based on Patients Events from the First Hours of Stay – A Case Study
Dubbeldam, A. L., Ketykó, I., de Carvalho, R. M., & Mannhardt, F. (2023). Early Predicting the Need for Aftercare Based on Patients Events from the First Hours of Stay – A Case Study. In M. Montali, A. Senderovich, & M. Weidlich (Eds.), Process Mining Workshops – ICPM 2022 International Workshops, Revised Selected Papers (pp. 366-377). (Lecture Notes in Business Information Processing; Read More …
Advanced Process Discovery Techniques
Augusto, A., Carmona, J., & Verbeek, H. M. W. (2022). Advanced Process Discovery Techniques. In Process Mining Handbook (pp. 76-107). (Lecture Notes in Business Information Processing (LNBIP); Vol. 448). Springer. https://doi.org/10.1007/978-3-031-08848-3_3 Abstract Given the challenges associated to the process discovery task, more than a hundred research studies addressed the problem over the past two decades. Read More …
Discovering an S-Coverable WF-net using DiSCover
Verbeek, H. M. W. (2022). Discovering an S-Coverable WF-net using DiSCover. In A. Burattin, A. Polyvyanyy, & B. Weber (Eds.), Proceedings of the 2022 4th International Conference on Process Mining (ICPM 2022) (pp. 64-71). IEEE Press. https://doi.org/10.1109/ICPM57379.2022.9980723 Abstract Although many algorithms exist that can discover a WF-net from an event log, only a few (if Read More …
Online Prediction of Aggregated Retailer Consumer Behaviour
Spenrath, Y., Hassani, M., & van Dongen, B. F. (2022). Online Prediction of Aggregated Retailer Consumer Behaviour. In J. Munoz-Gama, & X. Lu (Eds.), Process Mining Workshops – ICPM 2021 International Workshops, Revised Selected Papers (pp. 211-223). (Lecture Notes in Business Information Processing; Vol. 433 LNBIP). Springer. https://doi.org/10.1007/978-3-030-98581-3_16 Abstract Predicting the behaviour of consumers provides valuable Read More …
BitBooster: Effective Approximation of Distance Metrics via Binary Operations
Spenrath, Y., Hassani, M., & Van Dongen, B. F. (2022). BitBooster: Effective Approximation of Distance Metrics via Binary Operations. In H. Va Leong, S. S. Sarvestani, Y. Teranishi, A. Cuzzocrea, H. Kashiwazaki, D. Towey, J-J. Yang, & H. Shahriar (Eds.), Proceedings – 2022 IEEE 46th Annual Computers, Software, and Applications Conference, COMPSAC 2022 (pp. 201-210). Read More …
Real-Time Process Mining (JM0210-M-6) 2022
The course starts with an overview of the BPM domain using a set of twenty BPM use cases. These cover four key BPM activities: model (creating a process model to be used for analysis or enactment), enact (using a process model to control and support concrete cases), analyze (analyzing a process using a process model Read More …
Multi-Variate Process Analytics
Traditional process mining research focuses on the analysis of abstract objects (often referred to as cases) going through a system. These objects leave events which are typically considered to be the primary carriers of data. However, in many systems, the objects going through it are the factual carrier of data which changes over time. Think Read More …
Thinking Assistants
Many of today’s high-tech systems are essentially networks of complex processing units. Think of Vanderlande’s bagage handling systems, ASML’s wafer scanners or any Hospital in the world. These systems constantly capture and integrate streams of event data for the purpose of outlier detection, prediction and forecasting and even redesign. The analysis of large-scale networks of Read More …
Inferring Missing Event Data Describing Queue Behavior for Process Performance Analysis
Description Reliable analysis of performance problems and their root causes requires data of a high quality to understand how cases were handed from one employee to another and how they were processed in queues. However, the recorded event data is often of lower quality, e.g., information about queues is missing. The objective of this project Read More …
Exploring Task Execution Patterns in Event Graphs
Klijn, E. L., Mannhardt, F., & Fahland, D. (2021). Exploring Task Execution Patterns in Event Graphs. 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 Mining Read More …
Special issue: BPM 2020 Selected Papers in Foundations and Engineering
Fahland, D., Ghidini, C., Dumas, M., & Reichert, M. (2022). Special issue: BPM 2020 Selected Papers in Foundations and Engineering. Information Systems, 109, [102093]. https://doi.org/10.1016/j.is.2022.102093
Process tree discovery using a probabilistic inductive miner
Scheepens, R. J., Brons, D., & Fahland, D. (2022). Process tree discovery using a probabilistic inductive miner. (Patent No. US11500756B2). https://patents.google.com/patent/US20220075705A1/en Abstract Systems and methods for generating a process tree of a process are provided. An event log of the process is received. It is determined whether a base case applies to the event log Read More …
Process Mining over Multiple Behavioral Dimensions with Event Knowledge Graphs
Fahland, D. (2022). Process Mining over Multiple Behavioral Dimensions with Event Knowledge Graphs. In Process Mining Handbook (pp. 274-319). (Lecture Notes in Business Information Processing; Vol. 448). https://doi.org/10.1007/978-3-031-08848-3_9 Abstract Classical process mining relies on the notion of a unique case identifier, which is used to partition event data into independent sequences of events. In this Read More …
Multi-dimensional Process Analysis
Fahland, D. (2022). Multi-dimensional Process Analysis. In C. Di Ciccio, R. Dijkman, A. del Río Ortega, & S. Rinderle-Ma (Eds.), Business Process Management – 20th International Conference, BPM 2022, Proceedings: Lecture Notes in Computer Science (Vol. 13420, pp. 27-33). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Read More …
Extracting and Pre-Processing Event Logs
Fahland, D. (2022). Extracting and Pre-Processing Event Logs. CoRR, abs/2211.04338. https://doi.org/10.48550/arXiv.2211.04338
Discover Context-Rich Local Process Models (Extended Abstract)
Brunings, M., Fahland, D., & Verbeek, E. (2022). Discover Context-Rich Local Process Models (Extended Abstract). In M. Hassani, A. Koschmider, M. Comuzzi, F. M. Maggi, & L. Pufahl (Eds.), ICPM 2022 Doctoral Consortium and Demo Track 2022: Proceedings of the ICPM Doctoral Consortium and Demo Track 2022 (ICPM-D 2022), Bolzano, Italy, October, 2022 (pp. 100-103). Read More …
Defining Meaningful Local Process Models
Brunings, M., Fahland, D., & van Dongen, B. (2022). Defining Meaningful Local Process Models. In M. Koutny, F. Kordon, & D. Moldt (Eds.), Transactions on Petri Nets and Other Models of Concurrency XVI (pp. 24-48). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13220 LNCS). Read More …
New PhD Student: Ava Swevels
On January 1st, Ava Swevels started working as PhD student in the PA group. Ava will work under the supervision of Dirk Fahland on the AUTO-TWIN project. A big welcome to Ava!
Ava Swevels
Position: PhD Student Room: MF 7.070 Tel (internal): Links: CoursesPresentationsProjectsPublications External links: TU/e page Recent courses Recent presentations Recent projects Recent publications
AutoTwin
Description The AutoTwin project addresses the technological shortcoming and economic liability of the development and usage of digital twins that are accepted as the accelerator and enabler of Circular Economy in businesses and production by conduction research in 3 areas: introducing a breakthrough method for automated process-aware discovery towards autonomous Digital Twins generation, to support Read More …
Signal Phrase Extraction: Gateway to Information Retrieval Improvement in Law Texts
Sidorova, N., & van der Veen, M. (2021). Signal Phrase Extraction: Gateway to Information Retrieval Improvement in Law Texts. In E. Schweighofer (Ed.), Legal Knowledge and Information Systems – JURIX 2021: The 34th Annual Conference (pp. 127-130). (Frontiers in Artificial Intelligence and Applications; Vol. 346). IOS Press. https://doi.org/10.3233/FAIA210327 Abstract NLP-based techniques can support in improving Read More …
Efficient Memory Utilization in Conformance Checking of Process Event Streams
Zaman, R., Hassani, M., & van Dongen, B. F. (2022). Efficient Memory Utilization in Conformance Checking of Process Event Streams. 437-440. https://doi.org/10.1145/3477314.3507217 Abstract Conformance checking (CC) techniques of the process mining field gauge the conformance of the events constituting a case with respect to a business process model. Online conformance checking (OCC) techniques assess such Read More …
Best Paper Award at EdbA 2022 for Felix Mannhardt
Paul Kobialka, Felix Mannhardt, Silvia Lizeth Tapia Tarifa and Einar Broch Johnsen have won the Best Paper Award at the EdbA 2022 workshop for their paper titled “Building User Journey Games from Multi-party Event Logs”. Congratulations to Paul, Felix, Silvia and Einar!
Best Reviewer Award at ICPM 2022 for Felix Mannhardt
Felix Mannhardt has won the Best Reviewer Award at ICPM 2022. Congratulations to Felix!
ProM 6.12 released
AlphaRevisitExperiments 6.12.20, by Aaron Küsters DiSCover 6.12.50, by Eric Verbeek ExogenousData 6.11.1, by Sander Leemans and Adam Banham ExtendedHybridMiner 6.12.9, by Humam Kourani and Chiara Di Francescomarini LongDistanceDependencies 6.12.19, by Sander Leemans LPMSupportedWords 6.12.4, by Mitchel Brunings StochasticLabelledPetriNets 6.12.44, by Sander Leemans, Fabrizio Maggi, and Marco Montali See also our ProM 6.12 development page.
Discovering Care Pathways for Multi-morbid Patients Using Event Graphs
Aali, M. N., Mannhardt, F., & Toussaint, P. J. (2022). Discovering Care Pathways for Multi-morbid Patients Using Event Graphs. 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. (pp. 352-364). (Lecture Notes in Business Information Processing (LNBIP); 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. (2022). Privacy and Confidentiality in Process Mining: Threats and Research Challenges. ACM Transactions on Management Information Systems, 13(1), [11]. https://doi.org/10.1145/3468877 Abstract Privacy and confidentiality are very important prerequisites for applying process mining to Read More …
Quantifying the Re-identification Risk in Published Process Models
Maatouk, K., & Mannhardt, F. (2022). Quantifying the Re-identification Risk in Published Process Models. 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 (Vol. 433, pp. 382-394). (Lecture Notes in Business Information Processing (LNBIP)). Springer. https://doi.org/10.1007/978-3-030-98581-3_28 Abstract Read More …
Responsible Process Mining
Mannhardt, F. (2022). Responsible Process Mining. In W. M. P. van der Aalst, & J. Carmona (Eds.), Process Mining Handbook (pp. 373-401). (Lecture Notes in Business Information Processing; Vol. 448). Springer. https://doi.org/10.1007/978-3-031-08848-3_12 Abstract The prospect of data misuse negatively affecting our life has lead to the concept of responsible data science. It advocates for responsibility Read More …
Bart Hompes and Marcus Dees won the “BPM Innovation award” at BPM 2022
On September 14th, Bart Hompes and Marcus Dees won the “BPM Innovation award” with their submission “Detecting and mitigating the event log mutability problem at UWV (Uitvoeringsinstuut Werknemersverzekering)” to the Industry Forum at the BPM 2022 conference in Münster, Germany. Congratulations to Bart and Marcus!
Winter School (2IEIT0) 2022
The Winter School usually takes place in a weekend at the start of Q3. Details are announced 1 or 2 months in advance General course information Students are invited to join the Winter School by the EIT Digital co-location centre in the Netherlands
Seminar Process Analytics (2IMI00) 2022
This seminar prepares students for their Master project. By studying recent literature, we discuss and identify how to develop a research question, select the right research method, and plan and conduct the right evaluation. In addition, students get in touch with recent and ongoing research and practical application in the area of Processes and Information Read More …
Responsible Data Challenge (2AMR10) 2022
Only for BDMA students
Foundations of Process Mining (2AMI10) 2022
Data science is the profession of the future, because organizations that are unable to use (big) data in a smart way will not survive. It is not sufficient to focus on data storage and data analysis. The data scientist also needs to relate data to process analysis. Process mining bridges the gap between traditional model-based Read More …
EIT_Data Science entry point (2IMC93) 2022
In this meeting the student gets insight into the study program.