作者
Saptarshi Guha, Paul Kidwell, Ryan P Hafen, William S Cleveland
发表日期
2009/4/15
研讨会论文
Artificial Intelligence and Statistics
页码范围
193-200
出版商
PMLR
简介
Comprehensive visualization that preserves the information in a large complex dataset requires a visualization database (VDB): many displays, some with many pages, and with one or more panels per page. A single display using a specific display method results from partitioning the data into subsets, sampling the subsets, and applying the method to each sample, typically one per panel. The time of the analyst to generate a display is not increased by choosing a large sample over a small one. Displays and display viewers can be designed to allow rapid scanning. Often, it is not necessary to view every page of a display. VDBs, already successful just with off-the-shelf tools, can be greatly improved by research that rethinks all of the areas of data visualization in the context of VDBs.
引用总数
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学术搜索中的文章
S Guha, P Kidwell, RP Hafen, WS Cleveland - Artificial Intelligence and Statistics, 2009