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The Future Internet Assembly

FIA 2012: The Future Internet pp 93–104Cite as

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Visual Analytics: Towards Intelligent Interactive Internet and Security Solutions

Visual Analytics: Towards Intelligent Interactive Internet and Security Solutions

  • James Davey19,
  • Florian Mansmann20,
  • Jörn Kohlhammer19 &
  • …
  • Daniel Keim20 
  • Conference paper
  • Open Access
  • 12k Accesses

  • 5 Citations

Part of the Lecture Notes in Computer Science book series (LNISA,volume 7281)

Abstract

In the Future Internet, Big Data can not only be found in the amount of traffic, logs or alerts of the network infrastructure, but also on the content side. While the term Big Data refers to the increase in available data, this implicitly means that we must deal with problems at a larger scale and thus hints at scalability issues in the analysis of such data sets. Visual Analytics is an enabling technology, that offers new ways of extracting information from Big Data through intelligent, interactive internet and security solutions. It derives its effectiveness both from scalable analysis algorithms, that allow processing of large data sets, and from scalable visualizations. These visualizations take advantage of human background knowledge and pattern detection capabilities to find yet unknown patterns, to detect trends and to relate these findings to a holistic view on the problems. Besides discussing the origins of Visual Analytics, this paper presents concrete examples of how the two facets, content and infrastructure, of the Future Internet can benefit from Visual Analytics. In conclusion, it is the confluence of both technologies that will open up new opportunities for businesses, e-governance and the public.

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References

  1. Andrienko, G.L., Andrienko, N.V., Hurter, C., Rinzivillo, S., Wrobel, S.: From movement tracks through events to places: Extracting and characterizing significant places from mobility data. In: IEEE Conference on Visual Analytics Science and Technology (VAST 2011), pp. 161–170 (2011)

    Google Scholar 

  2. Bostock, M., Ogievetsky, V., Heer, J.: D3: Data-driven documents. IEEE Transactions on Visualization and Computer Graphics 17(12), 2301–2309 (2011)

    CrossRef  Google Scholar 

  3. Card, S.K., Mackinlay, J.D., Shneiderman, B.: Readings in information visualization: using vision to think. Morgan Kaufmann Publishers Inc., San Francisco (1999)

    Google Scholar 

  4. Cukier, K.: Data, data everywhere: A special report on managing information. The Economist 1(1), 14 (2010)

    Google Scholar 

  5. Fayyad, U.M., Piatetsky-Shapiro, G., Smyth, P., Uthurusamy, R. (eds.): Advances in Knowledge Discovery and Data Mining. AAAI Press (1996)

    Google Scholar 

  6. Fischer, F., Mansmann, F., Keim, D.A.: Real-Time Visual Analytics for Event Data Streams. In: Proceedings of the 2012 ACM Symposium on Applied Computing, SAC 2012. ACM (2012)

    Google Scholar 

  7. Fischer, F., Mansmann, F., Keim, D.A., Pietzko, S., Waldvogel, M.: Large-Scale Network Monitoring for Visual Analysis of Attacks. In: Goodall, J.R., Conti, G., Ma, K.-L. (eds.) VizSec 2008. LNCS, vol. 5210, pp. 111–118. Springer, Heidelberg (2008)

    CrossRef  Google Scholar 

  8. Giffinger, R., Fertner, C., Kramar, H., Kalasek, R., Pichler-Milanovic, N., Meijers, E.: Smart cities ranking of european medium-sized cities (2009), http://www.smart-cities.eu/ (retrieved January 20, 2012)

  9. Han, J., Kamber, M., Pei, J.: Data Mining: Concepts and Techniques., 3rd edn. Morgan Kaufmann Series in Data Management Systems. Morgan Kaufmann Publishers Inc., Waltham (2012)

    MATH  Google Scholar 

  10. Johnson, B., Shneiderman, B.: Tree-maps: A space-filling approach to the visualization of hierarchical information structures. In: Proc. IEEE Conference on Visualization, pp. 284–291. IEEE (1991)

    Google Scholar 

  11. Keim, D.A., Kohlhammer, J., Ellis, G., Mansmann, F. (eds.): Mastering The Information Age - Solving Problems with Visual Analytics. Eurographics (2010), http://www.vismaster.eu/wp-content/uploads/2010/11/VisMaster-book-lowres.pdf

  12. Keim, D.A., Mansmann, F., Schneidewind, J., Thomas, J., Ziegler, H.: Visual Analytics: Scope and Challenges. In: Simoff, S.J., Böhlen, M.H., Mazeika, A. (eds.) Visual Data Mining. LNCS, vol. 4404, pp. 76–90. Springer, Heidelberg (2008)

    CrossRef  Google Scholar 

  13. Kisilevich, S., Rohrdantz, C., Keim, D.A.: Beautiful picture of an ugly place. Exploring photo collections using opinion and sentiment analysis of user comments. In: Computational Linguistics & Applications (CLA 2010), pp. 419–428 (October 2010)

    Google Scholar 

  14. Krstajic, M., Najm-Araghi, M., Mansmann, F., Keim, D.: Incremental Visual Text Analytics of News Story Development. In: Proceedings of Conference on Visualization and Data Analysis, VDA 2012 (2012)

    Google Scholar 

  15. MacEachren, A.M., Jaiswal, A.R., Robinson, A.C., Pezanowski, S., Savelyev, A., Mitra, P., Zhang, X., Blanford, J.: Senseplace2: Geotwitter analytics support for situational awareness. In: IEEE Conference on Visual Analytics Science and Technology (VAST 2011), pp. 181–190 (2011)

    Google Scholar 

  16. Mansmann, F., Keim, D.A., North, S.C., Rexroad, B., Sheleheda, D.: Visual Analysis of Network Traffic for Resource Planning, Interactive Monitoring, and Interpretation of Security Threats. IEEE Transactions on Visualization and Computer Graphics 13(6) (2007)

    Google Scholar 

  17. Piatetsky-Shapiro, G., Frawley, W.J. (eds.): Knowledge Discovery in Databases. MIT Press (1991)

    Google Scholar 

  18. Rohrdantz, C., Oelke, D., Krstajic, M., Fischer, F.: Real-Time Visualization of Streaming Text Data: Tasks and Challenges. In: Workshop on Interactive Visual Text Analytics for Decision-Making at the IEEE VisWeek 2011 (2011)

    Google Scholar 

  19. Thomas, J.J., Cook, K.A. (eds.): Illuminating the Path: the Research and Development Agenda for Visual Analytics. IEEE CS Press (2005)

    Google Scholar 

  20. Viegas, F., Wattenberg, M., Van Ham, F., Kriss, J., McKeon, M.: Manyeyes: a site for visualization at internet scale. IEEE Transactions on Visualization and Computer Graphics 13(6), 1121–1128 (2007)

    CrossRef  Google Scholar 

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Author information

Authors and Affiliations

  1. Fraunhofer IGD, Germany

    James Davey & Jörn Kohlhammer

  2. Universität Konstanz, Germany

    Florian Mansmann & Daniel Keim

Authors
  1. James Davey
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  2. Florian Mansmann
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  3. Jörn Kohlhammer
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  4. Daniel Keim
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Editor information

Editors and Affiliations

  1. ETS Ingenieros de Telecomunicación, Universidad Politécnica de Madrid, Avenida Complutense 30, 28040, Madrid, Spain

    Federico Álvarez

  2. WIT-TSSG, Ireland

    Frances Cleary

  3. Informatics and Telematics Institute, Centre for Research and Technology Hellas, 1st Km Thermi - Panorama, 57001, Thessaloniki, Greece

    Petros Daras

  4. Knowledge Media Institute, The Open University, Walton Hall, MK7 6AA, Milton Keynes, UK

    John Domingue

  5. Dept. of Electronic and Electrical Engineering, University College London, London, UK

    Alex Galis

  6. ENoLL, Brussels, Belgium

    Ana Garcia

  7. Eurescom GmbH, Heidelberg, Germany

    Anastasius Gavras

  8. SAP Research, Germany

    Stamatis Karnourskos

  9. Ericsson Serbia, Belgrade, Serbia

    Srdjan Krco

  10. IC Focus, London, UK

    Man-Sze Li

  11. SAP Research, Sophia Antipolis, France

    Volkmar Lotz

  12. Business Information Systems, University of Applied Sciences Western Switzerland, Sierre, Switzerland

    Henning Müller

  13. Create-Net, Via Solteri 38, 38100, Trento, Italy

    Elio Salvadori

  14. European Commission, Brussels, Belgium

    Anne-Marie Sassen & Georgios Tselentis & 

  15. ESoCE Net, Dialogic, Aalto University School of Economics (CKIR), Aalto, Finland

    Hans Schaffers

  16. Institut für Informatik (IFI), Universität Zürich, Binzmühlestrasse 14, 8050, Zürich, Switzerland

    Burkhard Stiller

  17. University of Aalto, Finland

    Petra Turkama

  18. Synelixis/TEI of Chalkida, Greece

    Theodore Zahariadis

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© 2012 Springer-Verlag Berlin Heidelberg

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Cite this paper

Davey, J., Mansmann, F., Kohlhammer, J., Keim, D. (2012). Visual Analytics: Towards Intelligent Interactive Internet and Security Solutions. In: Álvarez, F., et al. The Future Internet. FIA 2012. Lecture Notes in Computer Science, vol 7281. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30241-1_9

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