A novel visualisation and interaction technique for exploring multidimensional data
| Autor: | Maurizio Pighin, Lucio Ieronutti |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2009 |
| Předmět: |
Data processing
Data Warehouse Information Systems and Management Theoretical computer science Computer science business.industry Online analytical processing Interaction technique computer.software_genre exploration Management Information Systems Visualization Interactive visual analysis Process capability index Hypercube Data mining multidimensionality Statistics Probability and Uncertainty business computer Graphical user interface |
| Popis: | Online Analytical Processing (OLAP) systems allow one to quickly provide answers to analytical queries on multidimensional data. These systems are typically based on visualisations characterised by limited interaction and exploration capabilities. In this paper, we propose innovative visual and interaction techniques for the analysis of multidimensional data. The proposed solution is based on three-dimensional hypercube representations that can be explored using dynamic queries and that combines colour-coding, detail-on-demand, cutting planes and viewpoint control techniques. We demonstrate the effectiveness of our visualisation tool by providing some practical examples showing how it has been used for extracting information from real multidimensional data. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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