HAXplorer: Interactive visual exploration of hierarchical item and attribute spaces

Analyzing tabular data by leveraging hierarchical structures for its items and attributes is a promising approach to scale for dataset sizes that make per-item and per-attribute analysis impractical. Existing approaches face limitations in supporting both item and attribute hierarchies, enabling use...

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Vydané v:	Computers & graphics Ročník 129; s. 104233
Hlavní autori:	Blum, Michael, Blum, Jonas, Sachdeva, Madhav, Bernard, Jürgen
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.06.2025
Predmet:	Data exploration Hierarchical aggregation Interactive visual data analysis Tabular data Visual analytics Data exploration Hierarchical aggregation Visual analytics Interactive visual data analysis Tabular data
ISSN:	0097-8493
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