A novel visualisation and interaction technique for exploring multidimensional data
by Lucio Ieronutti, Maurizio Pighin
International Journal of Business Intelligence and Data Mining (IJBIDM), Vol. 4, No. 3/4, 2009

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.

Online publication date: Tue, 03-Nov-2009

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Business Intelligence and Data Mining (IJBIDM):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com