Projection and Interactive Exploration of Large Relational Data

这个项目的目的是开发可视化和交互式探索大型关系数据的有效技术。该项目有三个集成的技术组成部分：(1)数据可视化，重点是扩展3D大巡展和体绘制技术，以呈现高维数据立方体；(2)数据库支持，重点是建立数据访问和数据聚合的坚实基础，以支持数据立方体的交互式探索；(3)数据投影，侧重于开发稳健可靠的技术，将多种数据投影到低空间，从而保留数据的内在结构。该项目的方法是将数据投射到低空间，并通过在多分辨率高维数据立方体上使用3D渲染技术来可视化地探索数据。数据立方体是通过对大型关系数据应用创新的数据访问技术获得的。教育组件包括开发一门新课程、开发一组交互式在线演示，以及创建一组真实世界的数据探索项目。预期结果包括研究人员和最终用户可用的技术、算法和工具。该项目在数据挖掘、模式分类和信息检索等方面具有广泛的应用。

The purpose of this project is to develop effective techniques for visualizing and interactively exploring large relational data. The project has three integrated technical components: (1) data visualization, which focuses on extending 3D grand tour and volume rendering techniques to render high dimensional data cubes; (2) database support, which focuses on establishing a solid foundation of data access and data aggregation to support interactive exploration of data cubes; (3) data projection, which focuses on developing robust and reliable techniques to project a manifold of data into low space such that the intrinsic structure of the data are preserved. The methodology of this project is to project data to low space and to visually explore the data by using 3D rendering techniques on the multi-resolution high dimensional data cubes. The data cubes are obtained by applying innovative data access techniques to large relational data. The education component includes the development of a new course, the development of a set of interactive online demos, and the creation of a collection of real-world data exploration projects. Expected results include techniques, algorithms and tools that are usable by researchers and end-users. This project has applications in data mining, pattern classification and information retrieval.