Thesis
Visualizing incomplete data in multidimensional databases
Washington State University
Master of Science (MS), Washington State University
2006
Handle:
https://hdl.handle.net/2376/503
Abstract
This research investigates how to effectively portray missing information. It is somewhat counterintuitive to "visualize" missing information because it is difficult to portray something that is not there. The target audience is business managers, who daily analyze and interpret data. While many tools exist that allow business to effectively visualize vast amounts of data, they currently do not display the data which is not present. One popular tool is a multidimensional database. A multidimensional database is a hierarchy in a multidimensional space, where each dimension is composed of a set of related categories, or system of measurement [5]. We adapt techniques from Human Computer Interaction and Data Visualization, to visualize missing information in multidimensional databases. Instead of creating a system totally from scratch, we extended the Polaris system to fit our goals. We chose Polaris because of its widespread use within business applications and the solid algebraic operations it is built upon. We extended Polaris with an incompleteness abstraction. In order to support the incompleteness abstraction, new operators were added to the Polaris algebra. This thesis describes the Polaris extensions; implementation is left to future work.
Metrics
Details
- Title
- Visualizing incomplete data in multidimensional databases
- Creators
- Nina Marie. Peterson
- Contributors
- Curtis Dyreson (Degree Supervisor)
- Awarding Institution
- Washington State University
- Academic Unit
- Electrical Engineering and Computer Science, School of
- Theses and Dissertations
- Master of Science (MS), Washington State University
- Publisher
- Washington State University; Pullman, Wash. :
- Identifiers
- 99900525033401842
- Language
- English
- Resource Type
- Thesis