Query, analysis, and visualization of hierarchically structured data using Polaris

In the last several years, large OLAP databases have become common in a variety of applications such as corporate data warehouses and scientific computing. To support interactive analysis, many of these databases are augmented with hierarchical structures that meaningful levels of abstraction that can be leveraged by both the computer and analyst. This hierarchical structure generates many challenges and opportunities in the design of systems for the query, analysis, and visualization of these databases. In this paper, we present an interactive visual exploration tool that facilitates exploratory analysis of data warehouses with rich hierarchical structure, such as might be stored in data cubes. We base this tool on Polaris, a system for rapidly constructing tablebased graphical displays of multidimensional databases. Polaris builds visualizations using an algebraic formalism that is derived from the interface and interpreted as a set of queries to a database. We extend the user inter...

• Type: Conference
• Year: 2002
• Where: KDD
• Authors: Chris Stolte, Diane Tang, Pat Hanrahan
• Keywords: Data Mining, Hierarchical Structure, KDD 2002, Polaris Builds Visualizations, Rich Hierarchical Structure