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Challenges in Visual Data Analysis
Open accessAbstract
In today's applications data is produced at unprecedented rates. While the capacity to collect and store new data grows rapidly, the ability to analyze these data volumes increases at much lower pace. This gap leads to new challenges in the analysis process, since analysts, decision makers, engineers, or emergency response teams depend on information "concealed" in the data. The emerging field of visual analytics focuses on handling massive, heterogenous, and dynamic volumes of information through integration of human judgement by means of visual representations and interaction techniques in the analysis process. Furthermore, it is the combination of related research areas including visualization, data mining, and statistics that turns visual analytics into a promising field of research. This paper aims at providing an overview of visual analytics, its scope and concepts, and details the most important technical research challenges in the field
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The magical number seven, plus or minus two: Some limits on our capacity for processing information.
Miller, G. A. (1956) · Psychological Review · doi:10.1037/h0043158 · Cited by 17,812
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Freese, N. H., Norris, D. C., & Loraine, A. E. (2016) · Bioinformatics · doi:10.1093/bioinformatics/btw069 · Cited by 371
Visualizing big data with augmented and virtual reality: Challenges and research agenda
Olshannikova, E., Ometov, A., Koucheryavy, Y., & Olsson, T. (2015) · Journal of Big Data · doi:10.1186/s40537-015-0031-2 · Cited by 315
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A Critical Reflection on Visualization Research: Where Do Decision Making Tasks Hide?
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Metadata
- Authors
- Keim, D. A., Mansmann, F., Schneidewind, J., & Ziegler, H.
- Venue
- Tenth International Conference on Information Visualisation (IV'06)
- Publisher
- IEEE
- Published
- 2006-08-03
- Pages
- 9-16
- ISSN
- 1550-6037 (ISSN-L)
- OpenAlex
- W2171036274
- Cited by
- 397
- References
- 1
- FWCI
- 9.33
- Type
- conference paper
- Language
- en
- Open access
- green
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- Keim, D. A., Mansmann, F., Schneidewind, J., & Ziegler, H. (2006). Challenges in Visual Data Analysis. Tenth International Conference on Information Visualisation (IV'06). https://doi.org/10.1109/iv.2006.31
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