The grand tour: a tool for viewing multidimensional data
SIAM Journal on Scientific and Statistical Computing
Using aggregation and dynamic queries for exploring large data sets
CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Data mining: concepts and techniques
Data mining: concepts and techniques
Data Warehousing, Data Mining, and Olap
Data Warehousing, Data Mining, and Olap
Proceedings of the IEEE Visualization '95 Workshop on Database Issues for Data Visualization
Proceedings of the IEEE Visualization '95 Workshop on Database Issues for Data Visualization
Data Exploration Interactions and the ExBase System
Proceedings of the IEEE Visualization '93 Workshop on Database Issues for Data Visualization
Proceedings of the IEEE Visualization '93 Workshop on Database Issues for Data Visualization
An Extended Schema Model for Scientific Data
Proceedings of the IEEE Visualization '93 Workshop on Database Issues for Data Visualization
Database Issues for Data Visualization: System Integration Issues
Proceedings of the IEEE Visualization '93 Workshop on Database Issues for Data Visualization
Visualization Related Metadata
Proceedings of the IEEE Visualization '95 Workshop on Database Issues for Data Visualization
Shape coding of multidimensional data on a microcomputer display
VIS '90 Proceedings of the 1st conference on Visualization '90
A data model for scientific visualization with provisions for regular and irregular grids
VIS '91 Proceedings of the 2nd conference on Visualization '91
IntelliGEN: A Distributed Workflow System for Discovering Protein-Protein Interactions
Distributed and Parallel Databases
KINSOLVER: A simulator for computing large ensembles of biochemical and gene regulatory networks
Computers & Mathematics with Applications
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Database visualization helps users process, interpret and act upon large stored data sets. In this paper, we present a Java-based 3D database visualization tool called J3DV. The J3DV tool successfully solved the problem of data management faced by many other visualization systems by integrating multiple data sources with the visualization tool. The tool utilizes two-level mapping to transform the data into intermediate data that can be used to render graphs. Intermediate data offers better performance with a two-tier cache.This visualization tool presents a sound framework, which has good extensibility for plugging in new data sources, supporting new data models and visual presentation types and allowing new graph layout algorithms.