DocumentCode
3705918
Title
Skydive: An interactive data visualization engine
Author
Jarek Gryz;Parke Godfrey;Piotr Lasek;Nasim Razavi
Author_Institution
York University, Canada
fYear
2015
Firstpage
129
Lastpage
130
Abstract
Visualization provides a powerful means for data analysis. To be most effective, visual analytics tools must support the fluent and flexible use of visualizations at fast rates. This becomes increasingly difficult with the increasing size of real-world datasets. First, large databases make interactivity more difficult as a query across the entire data can be slow. Second, any attempt to show all items from a dataset will overload the visualization, resulting in clutter.
Keywords
"Data visualization","Aggregates","Visualization","Computer architecture","Microprocessors","Visual databases"
Publisher
ieee
Conference_Titel
Large Data Analysis and Visualization (LDAV), 2015 IEEE 5th Symposium on
Type
conf
DOI
10.1109/LDAV.2015.7348082
Filename
7348082
Link To Document