In the On Line Analytical Processing (OLAP) context, exploration of huge and sparse data cubes is a tedious task which does not always lead to efficient results. In this paper, we...
Omar Boussaid, Riadh Ben Messaoud, Sabine Loudcher...
Learning Bayesian networks from data has been studied extensively in the evolutionary algorithm communities [Larranaga96, Wong99]. We have previously explored extending some of the...
Modern scientific computing involves organizing, moving, visualizing, and analyzing massive amounts of data from around the world, as well as employing largescale computation. The...
State of the art data centers use wired sensors embedded in equipment for thermal monitoring. The high cost of sensor installation restricts equipment relocation. We propose using...
Malena R. Mesarina, Cyril Brignone, Tim Connors, M...
The paper is written jointly by two parties, computer scientists specializing in geovisualization and experts in forestry, who cooperated within a joint project. The authors tell ...
Gennady L. Andrienko, Natalia V. Andrienko, Richar...