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High-performance data mining on networks of workstations

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Foundations of Intelligent Systems (ISMIS 1999)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1609))

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Abstract

In this paper we present G-Net, a distributed algorithm able to infer classifiers from pre-collected data, and its implementation on Networks of Workstations (NOWs). In order to effectively exploit the computing power provided by NOWs, G-Net incorporates a set of dynamic load distribution techniques that allow it to adapt its behavior to variations in the computing power due to resource contention.

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Author information

Authors and Affiliations

  1. DSTA, Università del Piemonte Orientale, Alessandria, Italy

    Cosimo Anglano & Attilio Giordana

  2. Data Mining Lab, CSELT S.p.A., Torino, Italy

    Giuseppe Lo Bello

Authors
  1. Cosimo Anglano
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  2. Attilio Giordana
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  3. Giuseppe Lo Bello
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Editor information

Zbigniew W. Raś Andrzej Skowron

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© 1999 Springer-Verlag Berlin Heidelberg

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Anglano, C., Giordana, A., Bello, G.L. (1999). High-performance data mining on networks of workstations. In: Raś, Z.W., Skowron, A. (eds) Foundations of Intelligent Systems. ISMIS 1999. Lecture Notes in Computer Science, vol 1609. Springer, Berlin, Heidelberg . https://doi.org/10.1007/BFb0095140

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  • DOI: https://doi.org/10.1007/BFb0095140

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65965-5

  • Online ISBN: 978-3-540-48828-6

  • eBook Packages: Springer Book Archive

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