TY  - CONF
TI  - Transient Visual Analytics
AU  - Schulz, Hans-Jörg
AU  - Weaver, Chris
T2  - 15th International EuroVis Workshop on Visual Analytics (EuroVA)
A2  - El-Assady, Mennatallah
A2  - Schulz, Hans-Jörg
AB  - Visual Analytics often utilizes progression as a means to overcome the challenges presented by large amounts of data or extensive computations. In Progressive Visual Analytics (PVA), data gets chunked into smaller subsets, which are then processed independently, and subsequently added to a visualization that completes over time. We introduce Transient Visual Analytics (TVA), which complements this incremental addition of data with progressive removal of data as it becomes outdated, starts to clutter the visualization, and generally distracts from the data that is currently relevant to visual analysis. Through combinations of various progressive addition and removal strategies, and supported by suitable analogies for the analyst and the software engineer, TVA captures a variety of visual analysis scenarios and approaches that are not well captured by PVA alone.
C3  - Proceedings of the 15th International EuroVis Workshop on Visual Analytics (EuroVA'24)
DA  - 2024///
PY  - 2024
DO  - 10.2312/eurova.20241108
SP  - 
EP  - 
PB  - Eurographics Association
SN  - 978-3-03868-253-0
ER  -