申请试用
HOT
登录
注册
 
imMens: Real-time Visual Querying of Big Data

imMens: Real-time Visual Querying of Big Data

da仔
/
发布于
/
1725
人观看
We first describe a design space of scalable visual summaries that use data reduction methods (such as binned aggregation or sampling) to visualize a variety of data types. We then contribute methods for interactive querying (e.g., brushing & linking) among binned plots through a combination of multivariate data tiles and parallel query processing. We implement our techniques in imMens, a browser-based visual analysis system that uses WebGL for data processing and rendering on the GPU. In benchmarks imMens sustains 50 frames-per-second brushing & linking among dozens of visualizations, with invariant performance on data sizes ranging from thousands to billions of records.
18 点赞
4 收藏
0下载
相关文档
确认
3秒后跳转登录页面
去登陆