Towards Combining Attribute-based and Time Series-based Visual Querying

Abstract
We present a concept for the visual-interactive definition of meaningful subsets in data sets comprising multivariate attributes and time series data. Based on a generalization of requirements of a real-world user group, we propose a three-stage approach, combining visual-interactive querying, query filter analysis, and result exploration. The approach includes several design parameters that can easily be adapted in future design studies for alternative applications.
Description

        
@inproceedings{
10.2312:eurp.20161145
, booktitle = {
EuroVis 2016 - Posters
}, editor = {
Tobias Isenberg and Filip Sadlo
}, title = {{
Towards Combining Attribute-based and Time Series-based Visual Querying
}}, author = {
Sessler, David
and
Spott, Martin
and
Nauck, Detlef
and
Harmer, William
and
Kohlhammer, Jörn
and
Bernard, Jürgen
}, year = {
2016
}, publisher = {
The Eurographics Association
}, ISSN = {
-
}, ISBN = {
978-3-03868-015-4
}, DOI = {
10.2312/eurp.20161145
} }
Citation