Projecten per jaar
Persoonlijk profiel
Research profile
Boudewijn van Dongen is a full Professor in computer science and chair of the Process Analytics group at Eindhoven University of Technology (TU/e). The research group distinguishes itself in the Information Systems discipline by its fundamental focus on modeling, understanding, analyzing, and improving processes. Boudewijn’s research focuses on conformance checking: anything where observed behavior needs to be related to previously modeled behavior. Conformance checking is embedded in the larger contexts of Business Process Management and Process Mining.
Boudewijn aims to develop techniques and tools to analyze databases and logs of large-scale information systems for the purpose of detecting, isolating, diagnosing and predicting misconformance in the business processes supported by these systems. The notion of alignments play a seminal role in conformance checking and the AIS group is world-leading in the definition of alignments for various types of observed behavior and for various modelling languages. Next to the theoretical foundations, he also develops the tools to actually measure conformance. These tools are typically implemented in Java in the open-source framework ProM.
Academic background
Boudewijn van Dongen obtained his MSc in Computer Science and his PhD in Process Mining and Verification from TU/e in 2003 and 2007 respectively. He is playing a leading role in several projects set up with his group. These include develop new techniques to deal with massive event data, developing novel techniques and tools to analyze software systems in vivo, a long-term strategic cooperation with Philips Research Eindhoven on data science, health and lighting and process mining in logistics at logistics company Vanderlande.
Vingerafdruk
- 11 Soortgelijke profielen
Netwerk
Projecten
- 1 Actief
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Business Process Re-engineering and functional toolkit for GDPR compliance
van Dongen, B. F., Hassani, M., Medeiros de Carvalho, R., van Dongen, B. F., Verbeek, H. M. W. (., Zaman, R. & Mozafari Mehr, A.
1/05/18 → 30/04/21
Project: Onderzoek direct
Onderzoeksoutput
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Why did my Consumer Shop? Learning an Efficient Distance Metric for Retailer Transaction Data
Spenrath, Y., Hassani, M., van Dongen, B. F. & Tariq, H., 25 feb 2021, Proceedings of ECML PKDD 2020.Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review
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Aligning observed and modelled behaviour by maximizing synchronous moves and using milestones
Bloemen, V., van Zelst, S., van der Aalst, W., van Dongen, B. & van de Pol, J., 2020, (Geaccepteerd/In druk) In : Information Systems. XX, XX, 101456.Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review
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Data Minimisation as Privacy and Trust Instrument in Business Processes
Zaman, R., Hassani, M. & van Dongen, B. F., 2020, (Geaccepteerd/In druk) Business Process Management Workshops (BPM 2020). SpringerOnderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review
Bestand42 Downloads (Pure) -
Defining meaningful local process models
Brunings, M., Fahland, D. & van Dongen, B., 2020, ATAED 2020 Algorithms & Theories for the Analysis of Event Data 2020: Proceedings of the International Workshop on Algorithms & Theories for the Analysis of Event Data 2020: Satellite event of the 41st International Conference on Application and Theory of Petri Nets and Concurrency Petri Nets 2020. van der Aalst, W., Bergenthum, R. & Carmona, J. (redactie). CEUR-WS.org, blz. 6-19 14 blz. (CEUR Workshop Proceedings; vol. 2625).Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review
Open Access -
Enabling efficient process mining on large data sets: realizing an in-database process mining operator
Dijkman, R., Gao, J., Syamsiyah, A., van Dongen, B., Grefen, P. & ter Hofstede, A., 1 mrt 2020, In : Distributed and Parallel Databases. 38, 1, blz. 227-253 27 blz.Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review
Open AccessBestand5 Citaten (Scopus)35 Downloads (Pure)
Datasets
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BPI Challenge 2016
van Dongen, B. F. (Ontwerper) & Dees, M. (Ontwerper), UWV, 22 apr 2016
DOI: 10.4121/uuid:360795c8-1dd6-4a5b-a443-185001076eab
Dataset
Cursussen
Scriptie
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GPRS dimensioning, an algorithmic approach: a combination of analytical and local search methods for GPRS capacity planning
Auteur: van Dongen, B., 31 aug 2003Begeleider: Boxma, O. (Afstudeerdocent 1)
Scriptie/Masterproef: Master
Bestand