Grant Number: IIS- 0119276 Institution of PI: WPI PIs: Matthew O Grant Number: IIS- 0119276 Institution of PI: WPI PIs: Matthew O. Ward and Elke A. Rundensteiner Title: Order, Spacing, and Clustering in Visual Exploration of Large Scale Data Research Objectives: Significant Results: Approach: Graphic: Broader Impact: The goal of this research is the development of novel and effective techniques for the exploratory visualization of data of high dimensionality and heterogeneous data types. XmdvTool, a public-domain exploratory visualization system, has been extended to enable multiresolution processing of data sets with nominal fields and hundreds of dimensions. New representations of relationships between dimensions facilitates this process. The approach consists of developing techniques and tools to effectively order, space, and cluster dimensions and values within nominal variables, to visualize the resulting information in a multiresolution fashion, to interact with the information spaces in an intuitive fashion, and to access the data at a rate to support the exploration process. The research will enable analysts to study and explore data sets of a much larger scale and diversity than currently possible with existing technology. A wide range of disciplines will be affected, including the sciences, engineering, and commerce.