Abstract
In today’s applications data is produced at unprecedented rates. While the capacity to collect and store new data rapidly grows, the ability to analyze these data volumes increases at much lower rates. This gap leads to new challenges in the analysis process, since analysts, decision makers, engineers, or emergency response teams depend on information hidden in the data. The emerging field of visual analytics focuses on handling these massive, heterogenous, and dynamic volumes of information by integrating 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, addresses the most important research challenges and presents use cases from a wide variety of application scenarios.
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References
Thomas, J., Cook, K.: Illuminating the Path: Research and Development Agenda for Visual Analytics. IEEE Press, Los Alamitos (2005)
Ware, C.: Information Visualization - Perception for Design, 1st edn. Morgan Kaufmann Publishers, San Francisco (2000)
Tuckey, J.W.: Exploratory Data Analysis. Addison-Wesley, Reading (1977)
Thomas, J.J., Cook, K.A.: A Visual Analytics Agenda. IEEE Transactions on Computer Graphics and Applications 26(1), 12–19 (2006)
Wong, P.C., Thomas, J.: Visual analytics. IEEE Computer Graphics and Applications 24(5), 20–21 (2004)
van Wijk, J.J.: The value of visualization. IEEE Visualization, 79–86 (2005)
Shneiderman, B.: The eyes have it: A task by data type taxonomy for information visualizations. In: IEEE Symposium on Visual Languages, pp. 336–343 (1996)
Keim, D.A., Kohlhammer, J., Thomas, J.: Workshop on visual analytics (2005), http://infovis.uni-konstanz.de/events/ws_visual_analytics_05/
Ma, K.-L., Lum, E., Yu, H., Akiba, H., Huang, M.-Y., Wang, Y., Schussman, G.: Scientific discovery through advanced visualization. In: Proceedings of DOE SciDAC 2005 Conference, San Francisco (June 2005)
Sloan Digital Sky Survey (2007), http://www.sdss.org/
COMPLETE - the COordinated Molecular Probe Line Extinction Thermal Emission survey of star forming regions. (2007), http://cfa-www.harvard.edu/COMPLETE/index.html
Keim, D.A., Nietzschmann, T., Schelwies, N., Schneidewind, J., Schreck, T., Ziegler, H.: FinDEx: A spectral visualization system for analyzing financial time series data. In: EuroVis 2006: Eurographics/IEEE-VGTC Symposium on Visualization, Lisbon, Portugal, May 8-10 (2006)
Wattenberg, M.: Visualizing the stock market. In: CHI 1999: CHI 1999 extended abstracts on Human factors in computing systems, pp. 188–189. ACM Press, New York (1999)
Livnat, Y., Agutter, J., Moon, S., Foresti, S.: Visual correlation for situational awareness. In: IEEE Symposium on Information Visualization, pp. 95–102 (2005)
Teoh, S.T., Jankun-Kelly, T., Ma, K.-L., Wu, S.F.: Visual data analysis for detecting flaws and intruders in computer network systems. IEEE Transactions on Computer Graphics and Applications, September/October 2004, 27–35 (2004)
Goodall, J.R., Lutters, W.G., Rheingans, P., Komlodi, A.: Preserving the big picture: Visual network traffic analysis with TNV. In: Proceedings of IEEE Workshop on Visualization for Computer Security, pp. 47–54 (2005)
Voinea, S., Chaudron, A.T.M.: Version-centric visualization of code evolution. In: Proceedings of Eurographics/IEEE-VGTC Symposium on Visualization (2005)
Balzer, M., Deussen, O.: Voronoi treemaps. In: IEEE Symposium on Information Visualization (InfoVis 2005), pp. 7–14 (2005)
Altschul, S.F., Gish, W., Miller, W., Myers, E.W., Lipman, D.J.: Basic local alignment search tool. Journal on Molecular Biology 215(3), 403–410 (1990)
Tatusova, T., Madden, T.: Blast2 sequences - a new tool for comparing protein and nucleotide sequences. FEMS Microbiology Letter 174(2), 247–250 (1999)
Doleisch, H., Mayer, M., Gasser, M., Wanker, R., Hauser, H.: Case study: Visual analysis of complex, time-dependent simulation results of a diesel exhaust system. In: 6th Joint IEEE TCVG -EUROGRAPHICS Symposium on Visualization (VisSym 2004), May 2004, pp. 91–96 (2004)
IBM Remail - reinventing email (2005), http://www.research.ibm.com/remail/
MIT Project Oxygen (2007), http://oxygen.lcs.mit.edu/
Pantheon Highway Gateway (2007), http://highway.lac.uic.edu/
Buneman, P., Khanna, S., Tan, W.-C.: Why and Where: A Characterization of Data Provenance. In: Van den Bussche, J., Vianu, V. (eds.) ICDT 2001. LNCS, vol. 1973, p. 316. Springer, Heidelberg (2000)
Chen, C.: Top 10 unsolved information visualization problems. IEEE Transactions on Computer Graphics and Applications 25(4), 12–19 (2005)
Eick, S.G., Karr, A.F.: Visual scalability. Journal of Computational & Graphical Statistics, 22–43 (March 2002)
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Keim, D.A., Mansmann, F., Schneidewind, J., Thomas, J., Ziegler, H. (2008). Visual Analytics: Scope and Challenges. In: Simoff, S.J., Böhlen, M.H., Mazeika, A. (eds) Visual Data Mining. Lecture Notes in Computer Science, vol 4404. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71080-6_6
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DOI: https://doi.org/10.1007/978-3-540-71080-6_6
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