Análisis y Visualización de Big Data mediante técnicas de realidad virtual = Big Data Visual Analytics using virtual reality techniques
Keywords:
Análisis de datos, Analítica visual, realidad virtual, datos masivos, Data Analysis, Visual analytics, Virtual Reality, Big Data.Abstract
Gracias a los avances de la tecnología, el número de datos que son generados y su complejidad crece exponencialmente. Las nuevas técnicas de adquisición de datos, así como las técnicas de computación de altas prestaciones han posibilitado la gestión de grandes conjuntos de datos con mayor resolución. Sin embargo, nuestra capacidad en el incremento de cantidad y complejidad en la generación de datos actuales, supera nuestra habilidad para entenderlos fácilmente y darles sentido. En el presente trabajo, proponemos el uso de técnicas de realidad virtual que exploten los diferentes canales sensoriales para facilitar la visualización, análisis, interpretación e interacción de grandes conjuntos de datos complejos.
Abstract
Advances in technology have made it possible to increase the data size generated causing its complexity grows exponentially. New data acquisition and high performance computing techniques have enabled to manage large data sets with high resolution. However, the amount and complexity of current generation of data exceeds our ability to easily understand and make sense of them. In this paper, we propose the use of virtual reality techniques that exploit different sensory channels for improving the visualization, analysis, interpretation and interaction of large complex datasets.
Downloads
Downloads
Published
Issue
Section
License
ArDIn does not charge authors for processing or publishing an article and provides immediate Open Access to its content. All content is available free to the user or their institution. Users are permitted to read, download, copy, distribute, print, search or link to the full text of articles, or use them for any other lawful purpose, without prior permission from the publisher or author. This is in accordance with the BOAI definition of open access.
- Authors retain the copyright and grant to the journal the right to a Creative Commons attribution / Non-Commercial / Non-Derivative 4.0 International (CC BY NC ND) License that allows others to share the work with an acknowledgement of authorship and non-commercial use.
- Authors may separately establish additional agreements for the non-exclusive distribution of the version of the work published in the journal (for example, placing it in an institutional repository or publishing it in a book).
Unless otherwise indicated, all contents of the electronic edition are distributed under a Creative Commons license.