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GRID oriented implementation of Self-Organizing Mpas for Data Mining in Meteorology

Revista: Lecture Notes in Artificial Intelligence
Año: 2004   Volumen: 2970
Página inicial: 163   Última página: 171
Estado: Publicado
Archivo PDF: 2004_Luengo_LNCS.pdf
DOI: 10.1007/978-3-540-24689-3_21
Autores:
Luengo, F., ,

We study 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, we consider an application of data mining in Meteorology, which involves databases of high-dimensional atmospheric patterns. In this work, we focus in network partitioning alternatives, analyzing their advantages and shortcomings in this framework. As a conclusion we obtain that
there is no optimal alternative, and a combination (hybridization) of algorithms is required for a GRID application.

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