Visual Analytics: Definition, Process and Challenges - Archive ouverte HAL Accéder directement au contenu
Chapitre D'ouvrage Année : 2008

Visual Analytics: Definition, Process and Challenges

Résumé

On a grand scale, visual analytics solutions provide technology that combines the strengths of human and electronic data processing. Visualization becomes the medium of a semi-automated analytical process, where humans and machines cooperate using their respective distinct capabilities for the most effective results. The diversity of these tasks can not be tackled with a single theory. Visual analytics research is highly interdisciplinary and combines various related research areas such as visualization, data mining, data management, data fusion, statistics and cognition science (among others).
Fichier principal
Vignette du fichier
VAChapter_final.pdf (537.17 Ko) Télécharger le fichier
Loading...

Dates et versions

lirmm-00272779 , version 1 (11-04-2008)

Identifiants

  • HAL Id : lirmm-00272779 , version 1

Citer

Daniel Keim, Gennady Andrienko, Jean-Daniel Fekete, Carsten Görg, Jörn Kohlhammer, et al.. Visual Analytics: Definition, Process and Challenges. Andreas Kerren and John T. Stasko and Jean-Daniel Fekete and Chris North. Information Visualization - Human-Centered Issues and Perspectives, 4950, Springer, pp.154-175, 2008, LNCS. ⟨lirmm-00272779⟩
1367 Consultations
17582 Téléchargements

Partager

Gmail Facebook X LinkedIn More