Paper Info
Title
A novel visualisation and interaction technique for exploring multidimensional data
Abstract
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.
Year
DOI
Venue
2009
10.1504/IJBIDM.2009.029084
IJBIDM
Keywords
Field
DocType
real multidimensional data,practical example,multidimensional data,proposed solution,dynamic query,novel visualisation,interaction technique,exploration capability,analytical query,limited interaction,online analytical processing,interactive visual analysis
Data mining,Interaction technique,Data processing,Computer science,Visualization,Interactive visual analysis,Graphical user interface,Artificial intelligence,Process capability index,Online analytical processing,Hypercube,Machine learning
Journal
Volume
Issue
Citations 
4
3/4
0
PageRank 
References 
Authors
0.34
22
2
Name
Order
Citations
PageRank
Lucio Ieronutti123820.08
Maurizio Pighin27811.28