Record link: 
http://hdl.handle.net/20.500.12708/53635
-
Title: 
Towards a Concept how the Structure of Time can Support the Visual Analytics Process
en
Citation: 
Lammarsch, T., Aigner, W., Bertone, A., Miksch, S., & Rind, A. (2011). Towards a Concept how the Structure of Time can Support the Visual Analytics Process. In S. Miksch & G. Santucci (Eds.), Proceedings of the Second International Workshop on Visual Analytics held in Europe (EuroVA 2011) (pp. 9–12). Computer Graphics Forum. https://doi.org/10.2312/PE/EuroVAST/EuroVA11/009-012
-
Publisher DOI: 
10.2312/PE/EuroVAST/EuroVA11/009-012
-
Publication Type: 
Inproceedings - Full-Paper Contribution
en
Language: 
English
-
Authors: 
Lammarsch, Tim 
Aigner, Wolfgang 
Bertone, Alessio 
Miksch, Silvia 
Rind, Alexander 
-
Organisational Unit: 
E193-07 - Forschungsbereich Visual Analytics 
-
Published in: 
Proceedings of the Second International Workshop on Visual Analytics held in Europe (EuroVA 2011) 
-
ISBN: 
978-3-905673-82-1
-
Date (published): 
2011
-
Event name: 
International Workshop on Visual Analytics (EuroVA 2011) 
-
Event date: 
31-May-2011
-
Event place: 
Bergen, Norway, Norway
-
Number of Pages: 
4
-
Publisher: 
Computer Graphics Forum, Special Issue
-
Publisher: 
The Eurographics Association
-
Peer reviewed: 
Yes
-
Keywords: 
Categories and Subject Descriptors (according to ACM CCS): Information Systems [H.1.1]: Models and Principles-Systems and Information Theory; Computing Methodologies [I.m]: Miscellaneous-
-
Abstract: 
The primary goal of Visual Analytics (VA) is the close intertwinedness of human reasoning and automated methods. An important task for this goal is formulating a description for such a VA process. We propose the design of a VA process description that uses the inherent structure contained in time-oriented data as a way to improve the integration of human reasoning. This structure can, for example, be seen in the calendar aspect of time being composed of smaller granularities, like years and seasons. Domain experts strongly consider this structure in their reasoning, so VA needs to consider it, too.
en
Project title: 
HypoVis: Modeling Hypotheses with Visual Analytics Methods to Analyze the Past and Forecast the Future (Fonds zur Förderung der wissenschaftlichen Forschung (FWF)) 
-
Research Areas: 
Business Informatics: 10%
Visual Computing and Human-Centered Technology: 80%
Logic and Computation: 5%
Computer Science Foundations: 4%
Computational System Design: 1%
-
Science Branch: 
Mathematik, Informatik
-
Appears in Collections:
Conference Paper

Show full item record

Page view(s)

189
checked on Nov 23, 2023

Download(s)

2
checked on Nov 23, 2023

Google ScholarTM

Check