Since the distributed knowledge discovery process is both data and computational intensive, the Grid is a natural platform for deploying a high performance data ...
Abstract Increasingly the datasets used for data mining are becoming huge and physically distributed. Since the distributed knowledge discovery process is ...
The Grid environment may in fact furnish coordinated resource sharing, collaborative processing,. and high performance data mining analysis of the huge amounts ...
Abstract. Increasingly the datasets used for data mining are becoming huge and physically distributed. Since the distributed knowledge dis-.
The focus of this paper is on the core services of such a Grid infrastructure. In particular we concentrate our attention on the design and implementation of ...
The focus of this paper is on the core services of such a Grid infrastructure. In particular we concentrate our attention on the design and implementation of ...
Scheduling High Performance Data Mining Tasks on a Data Grid Environment ... Grid system is how to scheduling data mining tasks in a high efficient way. In ...
Salvatore Orlando, Paolo Palmerini, Raffaele Perego , Fabrizio Silvestri: Scheduling High Performance Data Mining Tasks on a Data Grid Environment.
This document discusses scheduling high performance data mining tasks on a data grid environment. It proposes using a Knowledge Grid (K-Grid) architecture ...
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... Scheduling High Performance Data. Mining Tasks on a Data Grid Environment, Proceedings of Int. Conf. Euro-Par 2002, 27-. 30 August 2002, Paderborn, Germany ...
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