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Cloud Computing Approach for Intelligent Visualization of Multidimensional Data

In: Advances in Stochastic and Deterministic Global Optimization

Author

Listed:
  • Jolita Bernatavičienė

    (Vilnius University)

  • Gintautas Dzemyda

    (Vilnius University)

  • Olga Kurasova

    (Vilnius University)

  • Virginijus Marcinkevičius

    (Vilnius University)

  • Viktor Medvedev

    (Vilnius University)

  • Povilas Treigys

    (Vilnius University)

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.

Suggested Citation

  • Jolita Bernatavičienė & Gintautas Dzemyda & Olga Kurasova & Virginijus Marcinkevičius & Viktor Medvedev & Povilas Treigys, 2016. "Cloud Computing Approach for Intelligent Visualization of Multidimensional Data," Springer Optimization and Its Applications, in: Panos M. Pardalos & Anatoly Zhigljavsky & Julius Žilinskas (ed.), Advances in Stochastic and Deterministic Global Optimization, pages 73-85, Springer.
    • Handle: RePEc:spr:spochp:978-3-319-29975-4_5
    DOI: 10.1007/978-3-319-29975-4_5
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