Unraveling multi-dimensional data using pDView

Luigi Di Caro, Maria Luisa Sapino, Kasim Candan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present the pattern development view (pDView) system for multidimensional scientific data visualization. The pDView system relies on a novel pattern development tree (pDTree) structure to unravel patterns in multidimensional data without having to rely on visualizations that require either significant degrees of projections that eliminate certain dimensions at the expense of the others or introduce significant visual overhead due to overly-rich multi-dimensional graphic interfaces. Instead, pDView maps data along all its relevant dimensions onto a pDTree structure, capturing and visualizing the underlying fundamental relationships. The user is able to vary contextual parameters to observe the strength and robustness of these relationships under different situations.

Original languageEnglish (US)
Title of host publicationAdvances in Database Technology - EDBT 2011
Subtitle of host publication14th International Conference on Extending Database Technology, Proceedings
Pages570-573
Number of pages4
DOIs
StatePublished - Apr 18 2011
Event14th International Conference on Extending Database Technology: Advances in Database Technology, EDBT 2011 - Uppsala, Sweden
Duration: Mar 22 2011Mar 24 2011

Publication series

NameACM International Conference Proceeding Series

Other

Other14th International Conference on Extending Database Technology: Advances in Database Technology, EDBT 2011
CountrySweden
CityUppsala
Period3/22/113/24/11

Keywords

  • Data visualization
  • Query language
  • Reasoning with scientific data
  • Taxonomy

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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