Abstract
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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© 2004 Springer-Verlag Berlin Heidelberg
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Luengo, F., Cofiño, A.S., Gutiérrez, J.M. (2004). GRID Oriented Implementation of Self-organizing Maps for Data Mining in Meteorology. In: Fernández Rivera, F., Bubak, M., Gómez Tato, A., Doallo, R. (eds) Grid Computing. AxGrids 2003. Lecture Notes in Computer Science, vol 2970. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24689-3_21
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DOI: https://doi.org/10.1007/978-3-540-24689-3_21
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-21048-1
Online ISBN: 978-3-540-24689-3
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