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Interactive Visualization Interfaces for Big Data Analysis Using Combination of Dimensionality Reduction Methods: A Brief Review

  • Ana C. Umaquinga-CriolloEmail author
  • Diego H. Peluffo-Ordóñez
  • Paúl D. Rosero-Montalvo
  • Pamela E. Godoy-Trujillo
  • Henry Benítez-Pereira
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1110)

Abstract

The Big Data analysis allows to generate knowledge based on mathematical models that surpass human capabilities, and therefore it is necessary to have robust computer systems. In this connection, the dimensionality reduction (DR) allows to perform approximations to make data perceptible in a simple and compact way while also the computational cost is reduced. Additionally, interactive interfaces enable the user to work with algorithms involving complex mathematical and statistical processes typically aimed at providing weighting factors to each RD algorithm to find the best way to represent data at a low dimension. In this study, a bibliographic re-view of the different models of interactive interfaces for the analysis of Big Data using RD is presented, by considering different, existing proposals and approaches on how to display the information. Particularly, those approaches based on mental processes and uses of color along with an intuitive handling are of special interest.

Keywords

Big data Business intelligence Data mining Dimensionality reduction Interactive interface 

Notes

Acknowledgments

The authors thank the SDAS Research Group (http://sdas-group.com) and “Universidad Técnica del Norte”.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Ana C. Umaquinga-Criollo
    • 1
    Email author
  • Diego H. Peluffo-Ordóñez
    • 1
    • 2
  • Paúl D. Rosero-Montalvo
    • 1
  • Pamela E. Godoy-Trujillo
    • 1
  • Henry Benítez-Pereira
    • 3
  1. 1.Universidad Técnica del NorteIbarraEcuador
  2. 2.SDAS Research Group (www.sdas-group.com)Universidad Yachay TechUrcuquíEcuador
  3. 3.Instituto Superior Tecnológico Superior 17 de JulioUrcuquiEcuador

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