Exploration de données multidimensionnelles

Traduction en cours…
In recent years, the amount of data which information visualization techniques are confronted with has increased massively, whereas display sizes have remained largely identical.
Information visualization techniques address this challenge in two main ways. First, datasets are simplified by clustering or subsampling, so they deliver manageable data amounts with respect to available screen size. Secondly, mapping techniques maximize the amount of information displayed per screen space area, or information density.
As such, Information visualization (InfoVis) produces interactive visual representations of abstract data to reinforce human cognition; thus enabling the viewer to gain knowledge about the internal structure of the data and causal relationships in it.

Membres de l’équipe à contacter

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  • Christophe Hurter

    • Bureau : Z36
    • Téléphone : +33(0)5 62 25 96 27
    • Fax : +33(0)5 62 25 95 99

    • Page personnelle
    Thèmes de recherche :

    • visualisation de l’information (InfoVis)
    • interaction homme-machine (IHM)
    • visualisation de données multivariées dans le temps et l’espace
    • technique d’analyse de données (principalement basées pixels)

Thèmes de recherche