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Smart Brushing for Parallel Coordinates

Richard C. Roberts, Bob Laramee Orcid Logo, Gary A. Smith, Paul Brookes, Tony D'Cruze

IEEE Transactions on Visualization and Computer Graphics, Volume: 25, Issue: 3, Pages: 1575 - 1590

Swansea University Author: Bob Laramee Orcid Logo

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DOI (Published version): 10.1109/tvcg.2018.2808969

Abstract

The Parallel Coordinates plot is a popular tool for the visualization of high-dimensional data. One of the main challenges whenusing parallel coordinates is occlusion and overplotting resulting from large data sets. Brushing is a popular approach to address thesechallenges. Since its conception, lim...

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Published in: IEEE Transactions on Visualization and Computer Graphics
ISSN: 1077-2626 2160-9306
Published: Institute of Electrical and Electronics Engineers (IEEE) 2019
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URI: https://cronfa.swan.ac.uk/Record/cronfa38785
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Abstract: The Parallel Coordinates plot is a popular tool for the visualization of high-dimensional data. One of the main challenges whenusing parallel coordinates is occlusion and overplotting resulting from large data sets. Brushing is a popular approach to address thesechallenges. Since its conception, limited improvements have been made to brushing both in the form of visual design and functionalinteraction. We present a set of novel, smart brushing techniques that enhance the standard interactive brushing of a parallel coordinatesplot. We introduce two new interaction concepts: Higher-order, sketch-based brushing, and smart, data-driven brushing. Higher-orderbrushes support interactive, flexible, n-dimensional pattern searches involving an arbitrary number of dimensions. Smart, data-drivenbrushing provides interactive, real-time guidance to the user during the brushing process based on derived meta-data. In addition, weimplement a selection of novel enhancements and user options that complement the two techniques as well as enhance the explorationand analytical ability of the user. We demonstrate the utility and evaluate the results using a case study with a large, high-dimensional,real-world telecommunication data set and we report domain expert feedback from the data suppliers.
Item Description: This research paper features co-authors from industry.
Keywords: information visualization, visual analytics, parallel coordinates
College: Faculty of Science and Engineering
Issue: 3
Start Page: 1575
End Page: 1590

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