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Title:
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MLV-VIEWER: ADVANCED GRAPHICS
FOR VISUALIZATIONS IN DECISION SUPPORT SYSTEMS |
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Author(s):
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Carlos Manuel Oliveira Alves, Manuel Pérez Cota, María Díaz Rodríguez and Miguel Ramón González Castro |
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ISBN:
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978-989-8533-91-3 |
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Editors:
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Katherine Blashki and Yingcai Xiao |
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Year:
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2019 |
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Edition:
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Single |
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Keywords:
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Multi-Level Visualization on DSS, DSSM, Big Data Visualization |
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Type:
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Short Paper |
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First Page:
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338 |
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Last Page:
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342 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Information visualization (InfoVis) is defined as "the use of visual, interactive and visual representations
supported by computer, to increase cognition". InfoVis tools and methods help us accelerate our understanding of a large
amount of data. Data visualization improves understanding, especially with multidimensional data sets. Visual analysis
methods allow decision makers to combine their human flexibility, creativity and knowledge with the huge storage and
processing capabilities of today's computers for information about complex problems. Using advanced visual interfaces,
humans can interact directly with the data analysis, adding more to their liking and need. The MLV-Viewer prototype
will be described in this article. |
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