Toolglass and magic lenses: the see-through interface
SIGGRAPH '93 Proceedings of the 20th annual conference on Computer graphics and interactive techniques
Visual information seeking: tight coupling of dynamic query filters with starfield displays
CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
Multiresolution multidimensional wavelet brushing
Proceedings of the 7th conference on Visualization '96
Hierarchical parallel coordinates for exploration of large datasets
VIS '99 Proceedings of the conference on Visualization '99: celebrating ten years
Introduction to data visualization
Information visualization in data mining and knowledge discovery
Visualizing multi-dimensional clusters, trends, and outliers using star coordinates
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
XmdvTool: visual interactive data exploration and trend discovery of high-dimensional data sets
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
VisDB: Database Exploration Using Multidimensional Visualization
IEEE Computer Graphics and Applications
Visualization Techniques for Mining Large Databases: A Comparison
IEEE Transactions on Knowledge and Data Engineering
Interactive Information Visualization of a Million Items
INFOVIS '02 Proceedings of the IEEE Symposium on Information Visualization (InfoVis'02)
Parallel coordinates: a tool for visualizing multi-dimensional geometry
VIS '90 Proceedings of the 1st conference on Visualization '90
XmdvTool: integrating multiple methods for visualizing multivariate data
VIS '94 Proceedings of the conference on Visualization '94
A model and software system for coordinated and multiple views in exploratory visualization
Information Visualization - Special issue on coordinated and multiple views in exploratory visualization
Uncovering Clusters in Crowded Parallel Coordinates Visualizations
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
IEEE Transactions on Visualization and Computer Graphics
Challenges in Visual Data Analysis
IV '06 Proceedings of the conference on Information Visualization
| Hi-index | 0.00 |
This chapter introduces a novel systematization aiming at extending the application range of Information Visualization and Visual Data Mining. We present an innovative framework named Visualization Tree in order to integrate multiple data visualizations assisted by novel visual exploration techniques. These exploration techniques are named Frequency Plot, Relevance Plot and Representative Plot, and are integrated according the proposed Visualization Tree framework. The systematization of visualization techniques enabled by these concepts defines a Visual Data Mining environment where multiple presentation workspaces are kept together, linked according to analytical decisions taken by the user. Our emphasis is on developing an intuitive and versatile multiple-views system that helps the user to identify visual patterns while interpreting multiple data subsets. In this context, the analyst is able to draw and summarize several subsets that are inspected simultaneously each in a dedicated workspace.