Authors:
Baoyuan Wang
1
;
Gang Chen
1
;
Jiajun Bu
1
and
Yizhou Yu
2
Affiliations:
1
Zhejiang University, China
;
2
University of Illinois at Urbana-Champaign;Zhejiang University, China
Keyword(s):
Database, Visualization, Data cubes, H-tree, GPGPUs.
Related
Ontology
Subjects/Areas/Topics:
Abstract Data Visualization
;
Computer Vision, Visualization and Computer Graphics
;
Hardware
;
Sensor Networks
;
Visual Data Analysis and Knowledge Discovery
;
Visual Representation and Interaction
Abstract:
The analysis and exploration necessary to gain deep understanding of large databases demand an intuitive and informative human-computer interface. In this paper, we present a visualization system with a client-server architecture for multiscale visualization of relational databases. The visual interface on the client supports web-based remote access. We use zoom trees to represent the entire history of a zooming process that reveals multiscale details. Every path in a zoom tree represents a zoom path and every node in the tree can have
an arbitrary number of subtrees to support arbitrary branching and backtracking. Zoom trees are seamlessly integrated with a table-based overview using ”hyperlinks” embedded in the table. To support fast query processing on the server, we further develop efficient GPU-based parallel algorithms for online data cubing and CPU-based data clustering. Also, a user study was conducted to evaluate the effectiveness of our design.