Admire framework: Distributed data mining on data grid platforms

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Preprint

28 March 2017

preprint
Published by arXiv in arXiv

DOI:10.48550/arXiv.1703.09756

Abstract

In this paper, we present the ADMIRE architecture; a new framework for developing novel and innovative data mining techniques to deal with very large and distributed heterogeneous datasets in both commercial and academic applications. The main ADMIRE components are detailed as well as its interfaces allowing the user to efficiently develop and implement their data mining applications techniques on a Grid platform such as Globus ToolKit, DGET, etc.

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This publication has 2 references indexed in Scilit:

Book Reviews. Review of Advances in Distributed and Parallel Knowledge Discovery
Pattern Analysis and Applications, 2002
The Anatomy of the Grid: Enabling Scalable Virtual Organizations
The International Journal of High Performance Computing Applications, 2001