Using treemaps to visualize threaded discussion forums on PDAs
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Visualizing Business Data with Generalized Treemaps
IEEE Transactions on Visualization and Computer Graphics
Nature-inspired visualisation of similarity and relationships in human systems and behaviours
Information Visualization - Special issue on visual analysis of human dynamics
Using tagflake for condensing navigable tag hierarchies from tag clouds
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Using 2D Hierarchical Heavy Hitters to Investigate Binary Relationships
Visual Data Mining
Analysis and Interpretation of Visual Hierarchical Heavy Hitters of Binary Relations
ADBIS '08 Proceedings of the 12th East European conference on Advances in Databases and Information Systems
Creating tag hierarchies for effective navigation in social media
Proceedings of the 2008 ACM workshop on Search in social media
Unraveling multi-dimensional data using pDView
Proceedings of the 14th International Conference on Extending Database Technology
Navigating within news collections using tag-flakes
Journal of Visual Languages and Computing
ACM Transactions on Intelligent Systems and Technology (TIST)
Combining extended table lens and treemap techniques for visualizing tabular data
EUROVIS'06 Proceedings of the Eighth Joint Eurographics / IEEE VGTC conference on Visualization
Understanding interactive legends: a comparative evaluation with standard widgets
EuroVis'10 Proceedings of the 12th Eurographics / IEEE - VGTC conference on Visualization
An event-driven architecture for spatio-temporal surveillance of business activities
ISMIS'12 Proceedings of the 20th international conference on Foundations of Intelligent Systems
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Treemaps are a visualization technique for presenting hierarchical information on two-dimensional displays. Prior implementations limit the visualization to pre-defined static hierarchies. Flexible hierarchy, a new capability of Treemap 4.0, enables users to define various hierarchies through dynamically selecting a series of data attributes so that they can discover patterns, clusters and outliers. This paper describes the design and implementation issues of flexible hierarchy. It then reports on a usability study, which led to enhancements to the interface.