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VISUALIZATION
1999
IEEE
13 years 9 months ago
Hierarchical Parallel Coordinates for Exploration of Large Datasets
Our ability to accumulate large, complex (multivariate) data sets has far exceeded our ability to effectively process them in search of patterns, anomalies, and other interesting ...
Ying-Huey Fua, Matthew O. Ward, Elke A. Rundenstei...
INFOVIS
2003
IEEE
13 years 10 months ago
Interactive Hierarchical Dimension Ordering, Spacing and Filtering for Exploration of High Dimensional Datasets
Large numbers of dimensions not only cause clutter in multidimensional visualizations, but also make it difficult for users to navigate the data space. Effective dimension manage...
Jing Yang, Wei Peng, Matthew O. Ward, Elke A. Rund...
VIS
2008
IEEE
174views Visualization» more  VIS 2008»
14 years 6 months ago
Extensions of Parallel Coordinates for Interactive Exploration of Large Multi-Timepoint Data Sets
Parallel coordinate plots (PCPs) are commonly used in information visualization to provide insight into multi-variate data. These plots help to spot correlations between variables....
Jorik Blaas, Charl P. Botha, Frits H. Post
IDA
2005
Springer
13 years 10 months ago
Exploring Hierarchical Rule Systems in Parallel Coordinates
Rule systems have failed to attract much interest in large data analysis problems because they tend to be too simplistic to be useful or consist of too many rules for human interpr...
Thomas R. Gabriel, A. Simona Pintilie, Michael R. ...
VISSYM
2003
13 years 6 months ago
Visual Hierarchical Dimension Reduction for Exploration of High Dimensional Datasets
Traditional visualization techniques for multidimensional data sets, such as parallel coordinates, glyphs, and scatterplot matrices, do not scale well to high numbers of dimension...
Jing Yang, Matthew O. Ward, Elke A. Rundensteiner,...