Projecten per jaar
Organisatieprofiel
Introductie / missie
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.
Over de organisatie
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.
Vingerafdruk
Netwerk
Profielen
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Guido Budziak, MSc
- Mathematics and Computer Science, Data Mining - Onderzoeker
Persoon: OWP : Docent / Onderzoeker
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Bilge Celik, MSc
- Mathematics and Computer Science, Data Mining - Promovendus
Persoon: Prom. : Promovendus
projecten
- 1 Afgelopen
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Interoperability of Heterogeneous IoT Platforms
Exarchakos, G., Mocanu, D. C. & Exarchakos, G.
1/01/16 → 31/12/18
Project: Onderzoek direct
Onderzoeksoutput
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A Predictive maintenance anomaly detection algorithm for failure in elevators
Lozano Caicedo, Y., 5 feb 2021, Eindhoven: Technische Universiteit Eindhoven. 53 blz.Onderzoeksoutput: Scriptie › Pd Eng Thesis
Open AccessBestand -
Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training
Liu, S., Yin, L., Mocanu, D. C. & Pechenizkiy, M., 4 feb 2021, (Ingediend) Arxiv.Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review
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Efficient and effective training of sparse recurrent neural networks
Liu, S., Ni'Mah, I., Menkovski, V., Mocanu, D. C. & Pechenizkiy, M., 26 jan 2021, In : Neural Computing and Applications. XX, XXOnderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review
Open Access
Prijzen
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Best PhD Thesis
de Campos, Cassio (Ontvanger), 2006
Prijs: Anders › Werk, activiteit of publicatie gerelateerde prijzen (lifetime, best paper, poster etc.) › Wetenschappelijk
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Recognition of Support to Programming Competitions
de Campos, Cassio (Ontvanger), 2005
Prijs: Anders › Werk, activiteit of publicatie gerelateerde prijzen (lifetime, best paper, poster etc.) › Wetenschappelijk
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Third Prize - National Olympiad in Informatics
Mocanu, Decebal C. (Ontvanger), 1997
Prijs: Anders › Discipline gerelateerd › Wetenschappelijk
Activiteiten
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European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
Shiwei Liu (Organisator)
13 sep 2020 → 18 sep 2020Activiteit: Types deelname aan of organisatie van een evenement › Congres › Wetenschappelijk
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Machine Learning, better, together.
Joaquin Vanschoren (Spreker)
8 dec 2018Activiteit: Types gesprekken of presentaties › Genodigd spreker › Wetenschappelijk
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Tutorial on Automatic Machine Learning
Frank Hutter (Spreker) & Joaquin Vanschoren (Spreker)
3 dec 2018Activiteit: Types gesprekken of presentaties › Keynote spreker › Wetenschappelijk
Knipsels
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Beyond human: How artificial intelligence is evolving all by itself
20/04/20
1 item van Media-aandacht
Pers / media: Vakinhoudelijk commentaar
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Artificial intelligence is evolving all by itself
13/04/20 → 15/04/20
2 items van Media-aandacht
Pers / media: Vakinhoudelijk commentaar
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Artificial intelligence automatically develops science
14/04/20
1 item van Media-aandacht
Pers / media: Vakinhoudelijk commentaar
Scripties/Masterproeven
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Aerial Imagery Pixel-level Segmentation
Auteur: Heffels, M. R., 20 nov 2020Begeleider: Vanschoren, J. (Afstudeerdocent 1)
Scriptie/Masterproef: Master
Bestand -
A framework for understanding business process remaining time predictions
Auteur: Verhoef, C., 28 okt 2019Begeleider: Pechenizkiy, M. (Afstudeerdocent 1) & Scheepens, R. J. (Afstudeerdocent 2)
Scriptie/Masterproef: Master
Bestand -
Algorithms for center-based trajectory clustering
Auteur: van de L'Isle, N., 28 jan 2019Begeleider: Buchin, K. (Afstudeerdocent 1) & Driemel, A. (Afstudeerdocent 2)
Scriptie/Masterproef: Master
Bestand