Local adaptive mesh refinement for shock hydrodynamics
Journal of Computational Physics
Hierarchical parallel coordinates for exploration of large datasets
VIS '99 Proceedings of the conference on Visualization '99: celebrating ten years
Variational Methods for Multimodal Image Matching
International Journal of Computer Vision
30 Years of Multidimensional Multivariate Visualization
Scientific Visualization, Overviews, Methodologies, and Techniques
Local and Global Comparison of Continuous Functions
VIS '04 Proceedings of the conference on Visualization '04
Effectively Visualizing Multi-Valued Flow Data using Color and Texture
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
Scientific data management in the coming decade
ACM SIGMOD Record
Using bitmap index for interactive exploration of large datasets
SSDBM '03 Proceedings of the 15th International Conference on Scientific and Statistical Database Management
SSDBM'2005 Proceedings of the 17th international conference on Scientific and statistical database management
HDF5-FastQuery: Accelerating Complex Queries on HDF Datasets using Fast Bitmap Indices
SSDBM '06 Proceedings of the 18th International Conference on Scientific and Statistical Database Management
Multifield-Graphs: An Approach to Visualizing Correlations in Multifield Scalar Data
IEEE Transactions on Visualization and Computer Graphics
Detecting distributed scans using high-performance query-driven visualization
Proceedings of the 2006 ACM/IEEE conference on Supercomputing
Visualizing Multivariate Volume Data from Turbulent Combustion Simulations
Computing in Science and Engineering
On the performance of bitmap indices for high cardinality attributes
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Visualizing multiple fields on the same surface
IEEE Computer Graphics and Applications
Data Parallel Bin-Based Indexing for Answering Queries on Multi-core Architectures
SSDBM 2009 Proceedings of the 21st International Conference on Scientific and Statistical Database Management
Terascale data organization for discovering multivariate climatic trends
Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis
CollisionExplorer: a tool for visualizing droplet collisions in a turbulent flow
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part II
A gradient-based comparison measure for visual analysis of multifield data
EuroVis'11 Proceedings of the 13th Eurographics / IEEE - VGTC conference on Visualization
Hi-index | 0.00 |
Our ability to generate ever-larger, increasingly-complex data, has established the need for scalable methods that identify, and provide insight into, important variable trends and interactions. Query-driven methods are among the small subset of techniques that are able to address both large and highly complex datasets.This paper presents a new method that increases the utility of query-driven techniques by visually conveying statistical information about the trends that exist between variables in a query. In this method, correlation fields, created between pairs of variables, are used with the cumulative distribution functions of variables expressed in a user's query. This integrated use of cumulative distribution functions and correlation fields visually reveals, with respect to the solution space of the query, statistically important interactions between any three variables, and allows for trends between these variables to be readily identified. We demonstrate our method by analyzing interactions between variables in two flame-front simulations.