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Title:      MLV-VIEWER: ADVANCED GRAPHICS FOR VISUALIZATIONS IN DECISION SUPPORT SYSTEMS
Author(s):      Carlos Manuel Oliveira Alves, Manuel Pérez Cota, María Díaz Rodríguez and Miguel Ramón González Castro
ISBN:      978-989-8533-91-3
Editors:      Katherine Blashki and Yingcai Xiao
Year:      2019
Edition:      Single
Keywords:      Multi-Level Visualization on DSS, DSSM, Big Data Visualization
Type:      Short Paper
First Page:      338
Last Page:      342
Language:      English
Cover:      cover          
Full Contents:      click to dowload Download
Paper Abstract:      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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