Search For:

Displaying 1-4 out of 4 total
3D and Immersive Interfaces for Business Intelligence: The Case of OLAP
Found in: 2013 17th International Conference on Information Visualisation
By S. Lafon,F. Bouali,C. Guinot,G. Venturini
Issue Date:July 2013
pp. 272-277
We study in this paper the use of a 3D interface for OLAP. We analyze the state of the art in OLAP 3D visualizations. In a first step, we propose a new interface, called VR4OLAP, that combines the relative advantages of the studied methods. VR4OLAP can vis...
 
Hierarchical Reorganization of Dimensions in OLAP Visualizations
Found in: IEEE Transactions on Visualization and Computer Graphics
By S. Lafon,F. Bouali,C. Guinot,G. Venturini
Issue Date:November 2013
pp. 1833-1845
In this paper, we propose a new method for the visual reorganization of online analytical processing (OLAP) cubes that aims at improving their visualization. Our method addresses dimensions with hierarchically organized members. It uses a genetic algorithm...
 
Data Fusion and Multicue Data Matching by Diffusion Maps
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By S. Lafon,Y. Keller,R.R. Coifman
Issue Date:November 2006
pp. 1784-1797
Data fusion and multicue data matching are fundamental tasks of high-dimensional data analysis. In this paper, we apply the recently introduced diffusion framework to address these tasks. Our contribution is three-fold: first, we present the Laplace-Beltra...
 
Diffusion maps and coarse-graining: a unified framework for dimensionality reduction, graph partitioning, and data set parameterization
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By S. Lafon,A.B. Lee
Issue Date:September 2006
pp. 1393-1403
We provide evidence that nonlinear dimensionality reduction, clustering, and data set parameterization can be solved within one and the same framework. The main idea is to define a system of coordinates with an explicit metric that reflects the connectivit...
 
 1