- Abstract:
-
In this paper, we present an abstract model of visualization and inference processes, and describe an information-theoretic measure for optimizing such processes. In order to obtain such an abstraction, we first examined six classes of workflows in data analysis and visualization, and identified four levels of typical visualization components, namely disseminative, observational, analytical and model-developmental visualization. We noticed a common phenomenon at different levels of visualizat...
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Version:
- Accepted Manuscript
- Publisher:
- Institute of Electrical and Electronics Engineers Publisher's website
- Journal:
- IEEE Transactions on Visualization and Computer Graphics Journal website
- Volume:
- 22
- Issue:
- 12
- Pages:
- 2619-2632
- Publication date:
- 2015-12-30
- Acceptance date:
- 2015-12-21
- DOI:
- EISSN:
-
1941-0506
- ISSN:
-
1077-2626
- URN:
-
uuid:079c5d7b-c7ef-4dc8-8c4d-53764058c0b7
- Source identifiers:
-
580920
- Local pid:
- pubs:580920
- Copyright holder:
- IEEE
- Copyright date:
- 2015
- Notes:
- © 2015 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. This is the accepted manuscript version of the article. The final version is available online from Institute of Electrical and Electronics Engineers at: 10.1109/TVCG.2015.2513410
Journal article
What may visualization processes optimize?
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