LFPeers: Temporal Similarity Search in Covid-19 Data

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Date
2021
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
While there is a wide variety of visualizations and dashboards to help understand the data of the Covid-19 pandemic, hardly any of these support important analytical tasks, especially of temporal attributes. In this paper, we introduce a general concept for the analysis of temporal and multimodal data and the system LFPeers that applies this concept to the analysis of countries in a Covid-19 dataset. Our concept divides the analysis in two phases: a search phase to find the most similar objects to a target object before a time point t0, and an exploration phase to analyze this subset of objects after t0. LFPeers targets epidemiologists and the public who want to learn from the Covid-19 pandemic and distinguish successful and ineffective measures.
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@inproceedings{
10.2312:eurova.20211098
, booktitle = {
EuroVis Workshop on Visual Analytics (EuroVA)
}, editor = {
Vrotsou, Katerina and Bernard, Jürgen
}, title = {{
LFPeers: Temporal Similarity Search in Covid-19 Data
}}, author = {
Burmeister, Jan
and
Bernard, Jürgen
and
Kohlhammer, Jörn
}, year = {
2021
}, publisher = {
The Eurographics Association
}, ISBN = {
978-3-03868-150-2
}, DOI = {
10.2312/eurova.20211098
} }
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