Organisatieprofiel

Introductie / missie

Visualization research develops new methods to present large data collections in new insightful ways. The human eye, human interaction and design are key to this research.

Highlighted phrase

Leveraging human insight into data patterns.

Over de organisatie

Data Visualization, chaired by Jack van Wijk, exploits the unique capabilities of the human visual system to detect patterns and trends in imagery. The mission of Visualization (VIS) is to develop methods, techniques and tools that enable people to obtain insights into data via interactive computer graphics. This allows users to discover patterns and outliers in data that would be very difficult to find without the aid of the human mind. Systems can be analyzed and optimized significantly faster than using traditional analysis methods.

The central research question is how data should be presented and interacted with so that this process is most efficient and effective. Our approach in this area is characterized by the application of know-how from computer graphics and human computer interaction and by an experimental approach involving fast prototyping, close cooperation with end users, and validation in practice. Scalability of methods is a key.

The group currently specializes in the following areas:

Information visualization
We study how large amounts of abstract data, such as trees and networks, can be visualized. Typical use cases are the visualization of the contents of a computer hard disk and the visualization of the structure of a large software system.

Visual analytics
Huge data sets can only be dealt with via tight integration of visualization and methods from machine learning, data mining, and statistics. We study how to take advantage of the strengths of humans and computers, and how to steer and obtain insight into automated methods.

Most projects are carried out in collaboration with companies and other research groups within Mathematics & Computer Science. Application areas include digital pathology, epidemiology, and other healthcare topics, bioinformatics, computer network traffic analysis, multimedia analytics, insurance, and network analysis.

Cooperations:
JADS, SynerScope BV, ProcessGold BV, Philips Research, RIVM, Achmea

Vingerafdruk Verdiep u in de onderzoeksgebieden waarop Visualization actief is. Deze onderwerplabels komen uit het werk van de leden van deze organisatie. Samen vormen ze een unieke vingerafdruk.

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Profielen

Michael Burch

m.burch@tue.nl

Department of Mathematics and Computer Science, Algorithms and Visualization W&I - Universitair Docent
Department of Mathematics and Computer Science, Visualization

Persoon: UD : Universitair Docent

Dennis Collaris

d.a.c.collaris@tue.nl

Persoon: Prom. : Promovendus

Dennis Dingen

d.j.w.g.m.dingen@tue.nl

Department of Mathematics and Computer Science, Visualization
Department of Mathematics and Computer Science, Visualization - ex Promovendus

Persoon: Prom. : Promovendus, Onbekend

Onderzoeksoutput

ExplainExplore: Visual Exploration of Machine Learning Explanations

Collaris, D. & van Wijk, J. J., 17 mrt 2020. 1 blz.

Onderzoeksoutput: Bijdrage aan congres › Poster › Academic

Open Access

Bestand

ExplainExplore: Visual Exploration of Machine Learning Explanations

Collaris, D. & van Wijk, J. J., 3 jun 2020, blz. 26-35. 9 blz.

Onderzoeksoutput: Bijdrage aan congres › Paper › Academic

Open Access

Bestand

1 Downloads (Pure)

GPGPU linear complexity t-SNE optimization

Pezzotti, N., Thijssen, J., Mordvintsev, A., Hollt, T., Lew, B. V., Lelieveldt, B. P. F., Eisemann, E. & Vilanova, A., jan 2020, In : IEEE Transactions on Visualization and Computer Graphics. 26, 1, blz. 1172-1181 10 blz., 8811606.

Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review