Solving problems with visual analytics : challenges and applications

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Proceedings of the 11th International Conference on Knowledge Management and Knowledge Technologies - i-KNOW '11. New York, New York, USA: ACM Press, 2011, 1. ISBN 978-1-4503-0732-1. Available under: doi: 10.1145/2024288.2024290
Zusammenfassung

Never before in history data has been generated and collected in such high volumes as it is today. Keeping up to date with the flood of data, using standard tools for data analysis and exploration, is fraught with difficulty. Visual analytics seeks to provide people with better and more effective ways to understand and analyze large datasets, while also enabling them to act upon their findings immediately. The field integrates the analytic capabilities of the computer and the abilities of the human analyst, allowing novel discoveries and empowering individuals to take control of the analytical process. In this paper we present the challenges of visual analytics and exemplify them with a couple of application examples that illustrate the existing potential of current visual analysis techniques but also their limitations.

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The 11th International Conference on Knowledge Management and Knowledge Technologies - i-KNOW '11, 7. Sep. 2011 - 9. Sep. 2011, Graz, Austria
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ISO 690KEIM, Daniel A., Leishi ZHANG, 2011. Solving problems with visual analytics : challenges and applications. The 11th International Conference on Knowledge Management and Knowledge Technologies - i-KNOW '11. Graz, Austria, 7. Sep. 2011 - 9. Sep. 2011. In: Proceedings of the 11th International Conference on Knowledge Management and Knowledge Technologies - i-KNOW '11. New York, New York, USA: ACM Press, 2011, 1. ISBN 978-1-4503-0732-1. Available under: doi: 10.1145/2024288.2024290
BibTex
@inproceedings{Keim2011Solvi-19044,
  year={2011},
  doi={10.1145/2024288.2024290},
  title={Solving problems with visual analytics : challenges and applications},
  isbn={978-1-4503-0732-1},
  publisher={ACM Press},
  address={New York, New York, USA},
  booktitle={Proceedings of the 11th International Conference on Knowledge Management and Knowledge Technologies - i-KNOW '11},
  author={Keim, Daniel A. and Zhang, Leishi},
  note={Article Number: 1}
}
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