Sciweavers

179 search results - page 3 / 36
» Parallel k h-Means Clustering for Large Data Sets
Sort
View
ISCAPDCS
2003
14 years 11 months ago
On the Scalable Computation of Large Sets of Integrals
We consider efficient strategies for the parallel and distributed computation of large sets of multivariate integrals. These arise in many applications such as computational chem...
Elise de Doncker, Ajay K. Gupta, Laurentiu Cucos
IPPS
2003
IEEE
15 years 2 months ago
Parallel ROLAP Data Cube Construction On Shared-Nothing Multiprocessors
The pre-computation of data cubes is critical to improving the response time of On-Line Analytical Processing (OLAP) systems and can be instrumental in accelerating data mining tas...
Ying Chen, Frank K. H. A. Dehne, Todd Eavis, Andre...
BMCBI
2008
133views more  BMCBI 2008»
14 years 9 months ago
A Web-based and Grid-enabled dChip version for the analysis of large sets of gene expression data
Background: Microarray techniques are one of the main methods used to investigate thousands of gene expression profiles for enlightening complex biological processes responsible f...
Luca Corradi, Marco Fato, Ivan Porro, Silvia Scagl...
JDWM
2006
178views more  JDWM 2006»
14 years 9 months ago
Improved Data Partitioning for Building Large ROLAP Data Cubes in Parallel
The pre-computation of data cubes is critical to improving the response time of On-Line Analytical Processing (OLAP) systems and can be instrumental in accelerating data mining ta...
Ying Chen, Frank K. H. A. Dehne, Todd Eavis, Andre...
VISUALIZATION
1999
IEEE
15 years 1 months ago
Hierarchical Parallel Coordinates for Exploration of Large Datasets
Our ability to accumulate large, complex (multivariate) data sets has far exceeded our ability to effectively process them in search of patterns, anomalies, and other interesting ...
Ying-Huey Fua, Matthew O. Ward, Elke A. Rundenstei...