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Solving Problems with Visual Analytics

Kohlhammer, Jörn and Keim, Daniel A. and Pohl, Margit and Santucci, Giuseppe and Andrienko, Gennady (2011):
Solving Problems with Visual Analytics.
In: Procedia Computer Science online, pp. 117-120, 7, DOI: 10.1016/j.procs.2011.12.035, [Article]

Abstract

Visual analytics is an emerging research discipline aiming at making the best possible use of huge information loads in a wide variety of applications by appropriately combining the strengths of intelligent automatic data analysis with the visual perception and analysis capabilities of the human user. The major goal of visual analytics is the integration of these disciplines into visual analytics to acquire well-established and agreed upon concepts and theories, combining scientific breakthroughs in a single discipline to have a potential impact on visual analytics and vice versa. In a session at FET11, the leaders of the thematic working groups of the recently finalised FET Open coordination action VisMaster CA presented the scientific challenges that were identified in the visual analytics research roadmap, and the connection between the various disciplines and the broader vision of visual analytics. This article contains excerpts from this research roadmap to motivate further research in this direction within FET. © Selection and peer-review under responsibility of FET11 conference organizers and published by Elsevier B.V.

Item Type: Article
Erschienen: 2011
Creators: Kohlhammer, Jörn and Keim, Daniel A. and Pohl, Margit and Santucci, Giuseppe and Andrienko, Gennady
Title: Solving Problems with Visual Analytics
Language: English
Abstract:

Visual analytics is an emerging research discipline aiming at making the best possible use of huge information loads in a wide variety of applications by appropriately combining the strengths of intelligent automatic data analysis with the visual perception and analysis capabilities of the human user. The major goal of visual analytics is the integration of these disciplines into visual analytics to acquire well-established and agreed upon concepts and theories, combining scientific breakthroughs in a single discipline to have a potential impact on visual analytics and vice versa. In a session at FET11, the leaders of the thematic working groups of the recently finalised FET Open coordination action VisMaster CA presented the scientific challenges that were identified in the visual analytics research roadmap, and the connection between the various disciplines and the broader vision of visual analytics. This article contains excerpts from this research roadmap to motivate further research in this direction within FET. © Selection and peer-review under responsibility of FET11 conference organizers and published by Elsevier B.V.

Journal or Publication Title: Procedia Computer Science online
Volume: 7
Uncontrolled Keywords: Business Field: Visual decision support, Business Field: Digital society, Research Area: Semantics in the modeling process, Visual analytics, Information visualization, Data mining, Data management
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Date Deposited: 12 Nov 2018 11:16
DOI: 10.1016/j.procs.2011.12.035
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