ADMIRE FRAMEWORK: DISTRIBUTED DATA MINING ON DATA GRID PLATFORMS

Nhien-An Le-Khac, Tahar Kechadi, Joe Carthy

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.

References

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Paper Citation


in Harvard Style

Le-Khac N., Kechadi T. and Carthy J. (2006). ADMIRE FRAMEWORK: DISTRIBUTED DATA MINING ON DATA GRID PLATFORMS . In Proceedings of the First International Conference on Software and Data Technologies - Volume 2: ICSOFT, ISBN 978-972-8865-69-6, pages 67-72. DOI: 10.5220/0001319100670072


in Bibtex Style

@conference{icsoft06,
author={Nhien-An Le-Khac and Tahar Kechadi and Joe Carthy},
title={ADMIRE FRAMEWORK: DISTRIBUTED DATA MINING ON DATA GRID PLATFORMS},
booktitle={Proceedings of the First International Conference on Software and Data Technologies - Volume 2: ICSOFT,},
year={2006},
pages={67-72},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001319100670072},
isbn={978-972-8865-69-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the First International Conference on Software and Data Technologies - Volume 2: ICSOFT,
TI - ADMIRE FRAMEWORK: DISTRIBUTED DATA MINING ON DATA GRID PLATFORMS
SN - 978-972-8865-69-6
AU - Le-Khac N.
AU - Kechadi T.
AU - Carthy J.
PY - 2006
SP - 67
EP - 72
DO - 10.5220/0001319100670072