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Joint European Conference on Machine Learning and Knowledge Discovery in Databases

ECML PKDD 2012: Machine Learning and Knowledge Discovery in Databases pp 5–6Cite as

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Solving Problems with Visual Analytics: Challenges and Applications

Solving Problems with Visual Analytics: Challenges and Applications

  • Daniel Keim20 
  • Conference paper
  • 4560 Accesses

  • 12 Citations

Part of the Lecture Notes in Computer Science book series (LNAI,volume 7523)

Abstract

Never before in history data is generated and collected at such high volumes as it is today. As the volumes of data available to business people, scientists, and the public increase, their effective use becomes more challenging. Keeping up to date with the flood of data, using standard tools for data analysis and exploration, is fraught with difficulty. The field of visual analytics seeks to provide people with better and more effective ways to explore and understand large datasets, while also enabling them to act upon their findings immediately. Visual analytics integrates the analytic capabilities of the computer and the perceptual and intellectual abilities of the human analyst, allowing novel discoveries and empowering individuals to take control of the analytical process. Visual analytics enables unexpected insights, which may lead to beneficial and profitable innovation. The talk presents the challenges of visual analytics and exemplifies them with several application examples, which illustrate the exiting potential of current visual analysis techniques but also their limitations.

Keywords

  • IEEE Transaction
  • Standard Tool
  • Intellectual Ability
  • Analytic Capability
  • Coordination Action

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Authors and Affiliations

  1. University of Konstanz, Germany

    Daniel Keim

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  1. Daniel Keim
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Editor information

Editors and Affiliations

  1. Intelligent Systems Laboratory, University of Bristol, Merchant Venturers Building, Woodland Road, BS8 1UB, Bristol, UK

    Peter A. Flach, Tijl De Bie & Nello Cristianini,  & 

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© 2012 Springer-Verlag Berlin Heidelberg

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Cite this paper

Keim, D. (2012). Solving Problems with Visual Analytics: Challenges and Applications. In: Flach, P.A., De Bie, T., Cristianini, N. (eds) Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2012. Lecture Notes in Computer Science(), vol 7523. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33460-3_4

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  • DOI: https://doi.org/10.1007/978-3-642-33460-3_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33459-7

  • Online ISBN: 978-3-642-33460-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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