Cloud Computing Approach for Intelligent Visualization of Multidimensional Data

Jolita Bernatavičienė, Gintautas Dzemyda, Olga Kurasova (), Virginijus Marcinkevičius, Viktor Medvedev and Povilas Treigys
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Jolita Bernatavičienė: Vilnius University
Gintautas Dzemyda: Vilnius University
Olga Kurasova: Vilnius University
Virginijus Marcinkevičius: Vilnius University
Viktor Medvedev: Vilnius University
Povilas Treigys: Vilnius University

A chapter in Advances in Stochastic and Deterministic Global Optimization, 2016, pp 73-85 from Springer

Abstract: Abstract In this paper, a Cloud computing approach for intelligent visualization of multidimensional data is proposed. Intelligent visualization enables to create visualization models based on the best practices and experience. A new Cloud computing-based data mining system DAMIS is introduced for the intelligent data analysis including data visualization methods. It can assist researchers to handle large amounts of multidimensional data when executing resource-expensive and time-consuming data mining tasks by considerably reducing the information load. The application of DAMIS is illustrated by the visual analysis of medical streaming data.

Keywords: intelligent visualization; cloud computing; dimensionality reduction; medical streaming data (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1007/978-3-319-29975-4_5

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