Visualizing sets and set-typed data: State-of-the-art and future challenges
Abstract
A variety of data analysis problems can be modelled by defining multiple sets over a collection of elements and analyzing the relations between these sets. Despite their simple concept, visualizing sets is a non-trivial problem due to the large number of possible relations between them. We provide a systematic overview of state-of-theart techniques for visualizing different kinds of set relations. We classify these techniques into 7 main categories according to the visual representations they use and the tasks they support. We compare the categories to provide guidance for choosing an appropriate technique for a given problem. Finally, we identify challenges in this area that need further research and propose possible directions to address with these challenges.
B. Alsallakh, L. Micallef, W. Aigner, H. Hauser, S. Miksch, and P. Rodgers, "Visualizing sets and set-typed data: State-of-the-art and future challenges," in Eurographics conference on Visualization (EuroVis)–State of The Art Reports, 2014, p. 1–21. doi:dx.doi.org/10.2312/eurovisstar.20141170
[BibTeX]
A variety of data analysis problems can be modelled by defining multiple sets over a collection of elements and analyzing the relations between these sets. Despite their simple concept, visualizing sets is a non-trivial problem due to the large number of possible relations between them. We provide a systematic overview of state-of-theart techniques for visualizing different kinds of set relations. We classify these techniques into 7 main categories according to the visual representations they use and the tasks they support. We compare the categories to provide guidance for choosing an appropriate technique for a given problem. Finally, we identify challenges in this area that need further research and propose possible directions to address with these challenges.
@INPROCEEDINGS {alsallakh2014visualizing,
author = "Alsallakh, Bilal and Micallef, Luana and Aigner, Wolfgang and Hauser, Helwig and Miksch, Silvia and Rodgers, Peter",
title = "Visualizing sets and set-typed data: State-of-the-art and future challenges",
booktitle = "Eurographics conference on Visualization (EuroVis)--State of The Art Reports",
year = "2014",
pages = "1--21",
abstract = "A variety of data analysis problems can be modelled by defining multiple sets over a collection of elements and analyzing the relations between these sets. Despite their simple concept, visualizing sets is a non-trivial problem due to the large number of possible relations between them. We provide a systematic overview of state-of-theart techniques for visualizing different kinds of set relations. We classify these techniques into 7 main categories according to the visual representations they use and the tasks they support. We compare the categories to provide guidance for choosing an appropriate technique for a given problem. Finally, we identify challenges in this area that need further research and propose possible directions to address with these challenges.",
images = "images/img_Page_13_Image_0001.jpg",
thumbnails = "images/img_Page_13_Image_0001.jpg",
proceedings = "Eurographics conference on Visualization (EuroVis)--stars",
doi = "dx.doi.org/10.2312/eurovisstar.20141170"
}