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Title:
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DATA ANALYTICS WITH MLV-VIEWER |
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Author(s):
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Carlos Manuel Oliveira Alves, Manuel Pérez Cota, and Miguel Ramón González Castro |
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ISBN:
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978-989-8704-20-7 |
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Editors:
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Katherine Blashki |
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Year:
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2020 |
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Edition:
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Single |
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Keywords:
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Data Analytics in DSS, DSS, Big Data Visualization |
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Type:
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Full |
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First Page:
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27 |
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Last Page:
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33 |
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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 is defined as interactive visual representations supported by the computer, in order to increase
cognition. The tools and methods applied can help to accelerate the understanding of a large volume of data, improving
understanding, especially with multidimensional data sets. Visual analysis methods allow decision makers to combine
flexibility, creativity and human knowledge with the enormous storage and processing resources of today's computers to
gain insight into complex problems. If we add data mining to advanced visual interfaces, decision makers will be able to
interact directly with data analysis, adapting to their tastes and needs. The MLV-Viewer is a decision support system, and
its data analytics aspect will be described in this article. |
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