Publications
LFPeers: Temporal Similarity Search in Covid-19 Data
| Author | Burmeister, Jan; Bernard, Jürgen; Kohlhammer, Jörn |
|---|---|
| Date | 2021 |
| Type | Conference Paper |
| 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. |
| Conference | International Workshop on Visual Analytics (EuroVA) 2021 |
| Url | https://publica.fraunhofer.de/handle/publica/411449 |
