Abstract
Data visualization, especially if we are talking about a large volume, can, and should, be presented as a graphical and visual representation supported by a computer in an interactive way, and in this way it allows supporting the decision maker and increasing his cognition. The appropriate tools, methods and techniques can increase the understanding of data, with greater importance if they were large in volume and multidimensional. These visual and interactive representations, associated with analysis methods, enable decision makers to combine flexibility, creativity and human knowledge with the resources of computer storage and processing to obtain a more effective view of complex problems. Decision makers, too, should be allowed to interact directly with data analysis, adapting it to their tastes and needs. In this article, the mlv-viewer prototype will be presented, which, in short, consists of a universal decision support system, allowing multilevel data visualization, associating a set of data with a symbol.
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Alves, C.M.O., Cota, M.P., Castro, M.R.G. (2022). Multi-Level Visualization with the MLV-Viewer Prototype. In: Arai, K. (eds) Intelligent Systems and Applications. IntelliSys 2021. Lecture Notes in Networks and Systems, vol 295. Springer, Cham. https://doi.org/10.1007/978-3-030-82196-8_19
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DOI: https://doi.org/10.1007/978-3-030-82196-8_19
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