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CCGRID
2007
IEEE
14 years 1 months ago
Profiling Computation Jobs in Grid Systems
The existence of good probabilistic models for the job arrival process and job characteristics is important for the improved understanding of grid systems and the prediction of th...
Michael Oikonomakos, Kostas Christodoulopoulos, Em...
PRIB
2009
Springer
135views Bioinformatics» more  PRIB 2009»
14 years 2 months ago
Sequential Hierarchical Pattern Clustering
Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
Bassam Farran, Amirthalingam Ramanan, Mahesan Nira...
BMCBI
2007
237views more  BMCBI 2007»
13 years 7 months ago
FLAME, a novel fuzzy clustering method for the analysis of DNA microarray data
Background: Data clustering analysis has been extensively applied to extract information from gene expression profiles obtained with DNA microarrays. To this aim, existing cluster...
Limin Fu, Enzo Medico
CLUSTER
2002
IEEE
13 years 7 months ago
ZENTURIO: An Experiment Management System for Cluster and Grid Computing
The need to conduct and manage large sets of experiments for scientific applications dramatically increased over the last decade. However, there is still very little tool support ...
Radu Prodan, Thomas Fahringer
IPPS
2005
IEEE
14 years 1 months ago
User Transparent Parallel Processing of the 2004 NIST TRECVID Data Set
The Parallel-Horus framework, developed at the University of Amsterdam, is a unique software architecture that allows non-expert parallel programmers to develop fully sequential m...
Frank J. Seinstra, Cees Snoek, Dennis Koelma, Jan-...