Solving Problems with Visual Analytics : Challenges and Applications

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KEIM, Daniel, Leishi ZHANG, Milos KRSTAJIC, Svenja SIMON, 2012. Solving Problems with Visual Analytics : Challenges and Applications. In: Journal of Multimedia Processing and Technologies. 3(1), pp. 1-11. ISSN 0976-4127. eISSN 0976-4135

@article{Keim2012Solvi-22523, title={Solving Problems with Visual Analytics : Challenges and Applications}, year={2012}, number={1}, volume={3}, issn={0976-4127}, journal={Journal of Multimedia Processing and Technologies}, pages={1--11}, author={Keim, Daniel and Zhang, Leishi and Krstajic, Milos and Simon, Svenja} }

Solving Problems with Visual Analytics : Challenges and Applications 2012 Simon, Svenja eng Krstajic, Milos deposit-license 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 several application examples that illustrate the existing potential of current visual analysis techniques but also their limitations. 2013-03-25T10:54:48Z Zhang, Leishi Zhang, Leishi Keim, Daniel Keim, Daniel 2013-03-25T10:54:48Z Krstajic, Milos Simon, Svenja Journal of Multimedia Processing and Technologies ; 3 (2012), 1. - S. 1-11

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