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» Distributed data mining in grid computing environments
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ICPPW
2005
IEEE
15 years 12 months ago
Matchmaking, Datasets and Physics Analysis
Grid enabled physics analysis requires a Workload Management System (WMS) that takes care of finding suitable computing resources to execute data intensive jobs. A typical exampl...
Heinz Stockinger, Flavia Donno, Giulio Eulisse, Mi...
EUROMICRO
1999
IEEE
15 years 10 months ago
JFS: A Secure Distributed File System for Network Computers
Network-centric computing aims to solve the problems associated with traditional client/server systems, namely the high performance requirements, and costly maintenance of, the co...
Marcus O'Connell, Paddy Nixon
CCGRID
2010
IEEE
15 years 6 months ago
Gridifying a Diffusion Tensor Imaging Analysis Pipeline
—Diffusion Tensor MRI (DTI) is a rather recent image acquisition modality that can help identify disease processes in nerve bundles in the brain. Due to the large and complex nat...
Matthan W. A. Caan, Frans M. Vos, Antoine H. C. va...
VEE
2005
ACM
130views Virtualization» more  VEE 2005»
15 years 12 months ago
The entropia virtual machine for desktop grids
Desktop distributed computing allows companies to exploit the idle cycles on pervasive desktop PC systems to increase the available computing power by orders of magnitude (10x - 1...
Brad Calder, Andrew A. Chien, Ju Wang, Don Yang
SDM
2011
SIAM
183views Data Mining» more  SDM 2011»
14 years 9 months ago
Nonparametric Bayesian Co-clustering Ensembles
A nonparametric Bayesian approach to co-clustering ensembles is presented. Similar to clustering ensembles, coclustering ensembles combine various base co-clustering results to ob...
Pu Wang, Kathryn B. Laskey, Carlotta Domeniconi, M...