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» Distributed and Parallel Data Mining on the Grid
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OSDI
2008
ACM
13 years 11 months ago
DryadLINQ: A System for General-Purpose Distributed Data-Parallel Computing Using a High-Level Language
DryadLINQ is a system and a set of language extensions that enable a new programming model for large scale distributed computing. It generalizes previous execution environments su...
Yuan Yu, Michael Isard, Dennis Fetterly, Mihai Bud...
SKG
2006
IEEE
14 years 2 months ago
A Data Mining Approach Based on Grey Prediction Model in Web Environment
This paper proposes a prediction approach that combines grey prediction model with three-layer computing architecture in Web environment. It presents a refined prediction formula ...
Hui Peng
EUROPAR
2001
Springer
14 years 1 months ago
Experiments in Parallel Clustering with DBSCAN
We present a new result concerning the parallelisation of DBSCAN, a Data Mining algorithm for density-based spatial clustering. The overall structure of DBSCAN has been mapped to a...
Domenica Arlia, Massimo Coppola
MIDDLEWARE
2007
Springer
14 years 2 months ago
New Worker-Centric Scheduling Strategies for Data-Intensive Grid Applications
Distributed computations, dealing with large amounts of data, are scheduled in Grid clusters today using either a task-centric mechanism, or a worker-centric mechanism. Because of ...
Steven Y. Ko, Ramsés Morales, Indranil Gupt...
ICPP
2008
IEEE
14 years 3 months ago
A List-Based Strategy for Optimal Replica Placement in Data Grid Systems
—Data replications is a typical strategy for improving access performance and data availability in Data Grid systems. Current works on data replication in Grid systems focus on t...
Yi-Fang Lin, Jan-Jan Wu, Pangfeng Liu