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Radial Sets: Interactive Visual Analysis of Large Overlapping Sets

B. Alsallakh, W. Aigner, S. Miksch, H. Hauser

ARTICLE, IEEE Transactions on Visualization and Computer Graphics, 2013

Abstract

In many applications, data tables contain multi-valued attributes that often store the memberships of the table entities to multiple sets such as which languages a person masters, which skills an applicant documents, or which features a product comes with. With a growing number of entities, the resulting element-set membership matrix becomes very rich of information about how these sets overlap. Many analysis tasks targeted at set-typed data are concerned with these overlaps as salient features of such data. This paper presents Radial Sets, a novel visual technique to analyze set memberships for a large number of elements. Our technique uses frequency-based representations to enable quickly finding and analyzing different kinds of overlaps between the sets, and relating these overlaps to other attributes of the table entities. Furthermore, it enables various interactions to select elements of interest, find out if they are over-represented in specific sets or overlaps, and if they exhibit a different distribution for a specific attribute compared to the rest of the elements. These interactions allow formulating highly-expressive visual queries on the elements in terms of their set memberships and attribute values. As we demonstrate via two usage scenarios, Radial Sets enable revealing and analyzing a multitude of overlapping patterns between large sets, beyond the limits of state-of-the-art techniques.

Published

IEEE Transactions on Visualization and Computer Graphics

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BibTeX

@ARTICLE{Alsallakh13Radial, 
author={B. Alsallakh and W. Aigner and S. Miksch and H. Hauser}, 
journal={IEEE Transactions on Visualization and Computer Graphics}, 
title={Radial Sets: Interactive Visual Analysis of Large Overlapping Sets}, 
year={2013}, 
volume={19}, 
number={12}, 
pages={2496-2505}, 
url={http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6634104},
doi={10.1109/TVCG.2013.184}, 
ISSN={1077-2626},
abstract = {In many applications, data tables contain multi-valued attributes 
 that often store the memberships of the table entities to multiple sets such as 
 which languages a person masters, which skills an applicant documents, or which 
 features a product comes with. With a growing number of entities, the resulting 
 element-set membership matrix becomes very rich of information about how these 
 sets overlap. Many analysis tasks targeted at set-typed data are concerned with 
 these overlaps as salient features of such data. This paper presents Radial Sets, 
 a novel visual technique to analyze set memberships for a large number of elements. 
 Our technique uses frequency-based representations to enable quickly finding and 
 analyzing different kinds of overlaps between the sets, and relating these overlaps 
 to other attributes of the table entities. Furthermore, it enables various 
 interactions to select elements of interest, find out if they are over-represented
 in specific sets or overlaps, and if they exhibit a different distribution for a 
 specific attribute compared to the rest of the elements. These interactions allow 
 formulating highly-expressive visual queries on the elements in terms of their set 
 memberships and attribute values. As we demonstrate via two usage scenarios, Radial 
 Sets enable revealing and analyzing a multitude of overlapping patterns between 
 large sets, beyond the limits of state-of-the-art techniques.},


}






 Last Modified: Jean-Paul Balabanian, 2014-11-06