Projects per year
Organisation profile
Introduction / mission
The chair studies data mining (DM) techniques and knowledge discovery approaches that are at the core of data science. The group is known for its contributions to the areas of predictive analytics, automation of machine learning and networked science, subgroup discovery and exceptional model mining, and similarity computations on complex data. Its research is inspired by theoretical computer science, systems development and real-world applications of (big) data-driven discovery in healthcare, banking, energy, retail, telecom, and education among others.
Organisation profile
We develop generic approaches and specialized techniques that cover a wide range of descriptive, predictive and prescriptive analytics and work effectively with text, image, transactional, graph and time-series data in a responsible manner. E.g. we use Deep Learning methods to develop models for high dimensional heterogeneous, unstructured and evolving data and apply this models to areas such as medical imaging, genomics, anomaly detection and sentiment analysis. We further work on methods for analyzing and explaining the model’s decisions and performance and facilitate effective DM with domain expert in the loop.
Success stories
We have created OpenML: an online collaborative platform for studying machine learning techniques. OpenML is used by almost 2,000 researchers, students, and practitioners world-wide, and contains around 20,000 datasets, 3,000 machine learning workflows, and 1,7 million shared experiments. It has won the Dutch Data Prize, as well as backing from Microsoft Research. It is crucial for the development of automated machine learning that is adopted by companies such as Philips.
Further information at OpenML.org
- NWO RATE-Analytics (with Tilburg University, Rabobank and Achmea) "Next generation predictive analytics for data-driven banking and insurance".
- ImpulseKYC-Analytics (with Rabobank) "Know your customer predictive analytics" project aims at developing approaches for effective DM on heterogeneous and evolving data sources with expert-in-the-loop.
- STW CAPA (with Adversitement and StudyPortals)"Context-aware predictive analytics" advanced the current state of the art in Web analytics.
- NWO Veni "Detection methods for similarity structures in time-dependent data"develops foundations for advanced time series and trajectories clustering.
- H2020 SODA (ICT-2016-1; Big Data PPP) "Scalable Oblivious Data Analytics" facilitates secure DM; together with Crypto group we develop practical approaches for DM with multi-party computation.
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Collaborations and top research areas from the last five years
Profiles
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Elahe Arani
- Mathematics and Computer Science, Data Mining - Assistant Professor
Person: UD : Assistant Professor
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Lieke A.J. van den Biggelaar
- Mathematics and Computer Science, Data Mining - Doctoral Candidate-TA
Person: OWP : University Teacher / Researcher
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Aurélien Boland
- Mathematics and Computer Science, Data Mining - Doctoral Candidate-TA
Person: OWP : University Teacher / Researcher
Projects
- 2 Finished
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Smart One W&I TKI KPN Flagship
Pechenizkiy, M. (Project Manager) & d'Hondt, T. (Project member)
1/08/18 → 31/07/22
Project: Research direct
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Interoperability of Heterogeneous IoT Platforms
Mocanu, D. C. (Project member) & Exarchakos, G. (Project Manager)
1/01/16 → 31/12/18
Project: Research direct
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Adaptive Reinforcement Learning: Lean and Dynamic Agents for Robust Generalization
Grooten, B. J., 8 Apr 2026, Eindhoven: Eindhoven University of Technology. 154 p.Research output: Thesis › Phd Thesis 1 (Research TU/e / Graduation TU/e)
Open AccessFile -
A procedure for rule extraction from a Self-Organising plasma disruption predictor for JET
JET contributors, WPTE Team, Setzu, S., Aymerich, E. (Corresponding author), Fanni, A., Pisano, F., Sias, G., Cannas, B., van de Plassche, K. L., van Berkel, M., Marin, M., Kool, B., Koenders, J. T. W., Kempenaars, M., Kappatou, A., Jaulmes, F., Ho, A., Donné, A. J. H., Derks, G. L. & Delabie, E. & 17 others, , 10 Apr 2026, In: Scientific Reports. 16, 1, 21 p., 16931.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile -
Are There Exceptions to Goodhart's law? On the Moral Justification of Fairness-Aware Machine Learning
Weerts, H. J. P. (Corresponding author), Royakkers, L. M. M. & Pechenizkiy, M., 2026, In: ACM Journal on Responsible Computing. 3, 1, p. 1-20 20 p., 5.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile
Datasets
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Random forest models for gene expression experiments in Transformational Machine Learning
Soldatova, L. N. (Creator), King, R. D. (Creator), Davis, A. M. (Creator), Dash, T. (Creator), Vanschoren, J. (Creator), Olier, I. (Creator) & Orhobor, O. I. (Creator), SciLifeLab, 10 Jan 2022
DOI: 10.17044/scilifelab.16837084
Dataset
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OpenML: Networked science in machine learning
Vanschoren, J. (Creator), van Rijn, J. N. (Creator), Bischl, B. (Creator) & Torgo, L. (Creator), TIB, 16 Dec 2024
DOI: 10.57702/22p4ajpk
Dataset
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Mechanical Metamaterial: Square Array of Circular Holes Under Deformation
Hendriks, F. (Creator), Rokos, O. (Creator), Menkovski, V. (Creator), Doškář, M. (Creator) & Geers, M. (Creator), Zenodo, 27 Nov 2024
Dataset
Prizes
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Best Demo Paper Award of IEEE ICDE 2023
Halstead, B. (Recipient), Koh, Y. S. (Recipient), Riddle, P. (Recipient), Pechenizkiy, M. (Recipient) & Bifet, A. (Recipient), 2023
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
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Best Paper Award ICPM 2021
Menkovski, V. (Recipient), Sommers, D. (Recipient) & Fahland, D. (Recipient), 4 Nov 2021
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
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Best Paper Award of ALA 2022
Sokar, G. (Recipient), Mocanu, E. (Recipient), Mocanu, D. C. (Recipient), Pechenizkiy, M. (Recipient) & Stone, P. (Recipient), 2022
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
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2020 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2020)
Liu, S. (Organiser)
13 Sept 2020 → 18 Sept 2020Activity: Participating in or organising an event types › Conference › Scientific
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Machine Learning, better, together.
Vanschoren, J. (Speaker)
8 Dec 2018Activity: Talk or presentation types › Invited talk › Scientific
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Tutorial on Automatic Machine Learning
Hutter, F. (Speaker) & Vanschoren, J. (Speaker)
3 Dec 2018Activity: Talk or presentation types › Keynote talk › Scientific
Press/Media
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Ghost stories about AI are in great demand – and that is not without risk
6/03/24
1 Media contribution
Press/Media: Expert Comment
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National Taipei University of Technology Details Findings in Nanosheets (Constructing Metal Organic Framework Derived Manganese Cobalt Layered Double Hydroxide Nanosheets On Ni Foam As Cost-effective Binder-free Electrodes of High-performance ...)
13/11/23
1 item of Media coverage
Press/Media: Expert Comment
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ChatGPT is een knap staaltje AI, maar betrouwbaar wordt het nooit
8/11/23
1 Media contribution
Press/Media: Public Engagement Activities
Student theses
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3D Bubble Shape Reconstruction from 2D Imagery Using CNNs
Orij, D. R. (Author), van Sint Annaland, M. (Supervisor 1), Roghair, I. (Supervisor 2), Baltussen, M. W. (Supervisor 2) & Menkovski, V. (Supervisor 2), 31 Jan 2024Student thesis: Master
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3D Face Reconstruction Using Deep Learning
Jawahar, P. (Author), Medeiros de Carvalho, R. (Supervisor 1), Gallucci, A. (Supervisor 2) & Vanschoren, J. (Supervisor 2), 20 Jan 2020Student thesis: Master
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A Benchmark For Transfer Learning in Vision
Grodek, P. A. (Author), Vanschoren, J. (Supervisor 1), 28 Feb 2025Student thesis: Bachelor
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