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» Distributed and Parallel Data Mining on the Grid
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OSDI
2008
ACM
15 years 6 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...
124
Voted
SKG
2006
IEEE
15 years 10 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
155
Voted
EUROPAR
2001
Springer
15 years 8 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
15 years 10 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...
139
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ICPP
2008
IEEE
15 years 10 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