Projects per year
Organization 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.
Organisational 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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Network
Profiles
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Guido Budziak, MSc
- Mathematics and Computer Science, Data Mining - University Researcher
Person: OWP : University Teacher / Researcher
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Bilge Celik, MSc
- Mathematics and Computer Science, Data Mining - Doctoral Candidate
Person: Prom. : doctoral candidate (PhD)
Projects
- 1 Finished
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Interoperability of Heterogeneous IoT Platforms
Exarchakos, G., Mocanu, D. C. & Exarchakos, G.
1/01/16 → 31/12/18
Project: Research direct
Research output
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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 p.Research output: Thesis › Pd Eng Thesis
Open AccessFile -
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, (Submitted) Arxiv.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › 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, XXResearch output: Contribution to journal › Article › Academic › peer-review
Open Access
Prizes
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Best PhD Thesis
de Campos, Cassio (Recipient), 2006
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
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Recognition of Support to Programming Competitions
de Campos, Cassio (Recipient), 2005
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
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Third Prize - National Olympiad in Informatics
Mocanu, Decebal C. (Recipient), 1997
Prize: Other › Discipline related › Scientific
Activities
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European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
Shiwei Liu (Organiser)
13 Sep 2020 → 18 Sep 2020Activity: Participating in or organising an event types › Conference › Scientific
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Machine Learning, better, together.
Joaquin Vanschoren (Speaker)
8 Dec 2018Activity: Talk or presentation types › Invited talk › Scientific
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Tutorial on Automatic Machine Learning
Frank Hutter (Speaker) & Joaquin Vanschoren (Speaker)
3 Dec 2018Activity: Talk or presentation types › Keynote talk › Scientific
Press / Media
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Beyond human: How artificial intelligence is evolving all by itself
20/04/20
1 item of Media coverage
Press/Media: Expert Comment
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Artificial intelligence is evolving all by itself
13/04/20 → 15/04/20
2 items of Media coverage
Press/Media: Expert Comment
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Artificial intelligence automatically develops science
14/04/20
1 item of Media coverage
Press/Media: Expert Comment
Student theses
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Aerial Imagery Pixel-level Segmentation
Author: Heffels, M. R., 20 Nov 2020Supervisor: Vanschoren, J. (Supervisor 1)
Student thesis: Master
File -
A framework for understanding business process remaining time predictions
Author: Verhoef, C., 28 Oct 2019Supervisor: Pechenizkiy, M. (Supervisor 1) & Scheepens, R. J. (Supervisor 2)
Student thesis: Master
File -
Algorithms for center-based trajectory clustering
Author: van de L'Isle, N., 28 Jan 2019Supervisor: Buchin, K. (Supervisor 1) & Driemel, A. (Supervisor 2)
Student thesis: Master
File