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GRID Oriented Implementation of Self-Organizing Maps for Data Mining in Meteorology

Overview This paper studies the efficiency of different alternatives for a scalable parallel implementation of the Self-Organizing Map (SOM) in the GRID environment of variable resources and communications. In particular, the paper considers an application of data mining in Meteorology, which involves databases of high-dimensional atmospheric patterns. In this work, the paper focuses in network partitioning alternatives, analyzing their advantages and shortcomings in this framework. As a conclusion the paper obtains that there is no optimal alternative, and a combination (hybridization) of algorithms is required for a GRID application.

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Publisher
Universidad de Cantabria
File Format
PDF
Date Published
Oct 1, 2008
Format
White Papers
Topics
Knowledge and Data Management, Data Mining - Analysis, High Performance Computing

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