Applying grid technologies to distributed data mining

A C  Hume; A D  Lloyd; T M  Sloan; A C  Carter

Applying grid technologies to distributed data mining

A C Hume, A D Lloyd, T M Sloan, A C Carter

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract / Description of output

The Grid promises improvements in the effectiveness with which global businesses are managed if it enables distributed expertise to be efficiently applied to the analysis of distributed data. We report an ESRC-funded collaboration between EPCC in Edinburgh and Curtin University of Technology in Perth, Australia, that is applying public-domain Grid technologies to secure data mining within a commercial environment. We describe this Grid infrastructure and discuss its strengths and weaknesses.

Original language	English
Title of host publication	GRID AND COOPERATIVE COMPUTING GCC 2004, PROCEEDINGS
Editors	H JIn, Y Pan, N Xiao, J Sun
Place of Publication	BERLIN
Publisher	Springer
Pages	696-703
Number of pages	8
ISBN (Print)	3-540-23564-7
Publication status	Published - 2004
Event	3rd International Conference on Grid and Cooperative Computing (GCC 2004) - Wuhan Duration: 21 Oct 2004 → 24 Oct 2004

Conference

Conference	3rd International Conference on Grid and Cooperative Computing (GCC 2004)
City	Wuhan
Period	21/10/04 → 24/10/04

INFORMING BUSINESS & REGIONAL POLICY
Lloyd, A.
ESRC
1/11/03 → 31/03/05
Project: Research

Cite this

@inproceedings{feea85537388439082c083c53aff052d,

title = "Applying grid technologies to distributed data mining",

abstract = "The Grid promises improvements in the effectiveness with which global businesses are managed if it enables distributed expertise to be efficiently applied to the analysis of distributed data. We report an ESRC-funded collaboration between EPCC in Edinburgh and Curtin University of Technology in Perth, Australia, that is applying public-domain Grid technologies to secure data mining within a commercial environment. We describe this Grid infrastructure and discuss its strengths and weaknesses.",

author = "Hume, {A C} and Lloyd, {A D} and Sloan, {T M} and Carter, {A C}",

year = "2004",

language = "English",

isbn = "3-540-23564-7",

pages = "696--703",

editor = "H JIn and Y Pan and N Xiao and J Sun",

booktitle = "GRID AND COOPERATIVE COMPUTING GCC 2004, PROCEEDINGS",

publisher = "Springer",

address = "United Kingdom",

note = "3rd International Conference on Grid and Cooperative Computing (GCC 2004) ; Conference date: 21-10-2004 Through 24-10-2004",

}

TY - GEN

T1 - Applying grid technologies to distributed data mining

AU - Hume, A C

AU - Lloyd, A D

AU - Sloan, T M

AU - Carter, A C

PY - 2004

Y1 - 2004

N2 - The Grid promises improvements in the effectiveness with which global businesses are managed if it enables distributed expertise to be efficiently applied to the analysis of distributed data. We report an ESRC-funded collaboration between EPCC in Edinburgh and Curtin University of Technology in Perth, Australia, that is applying public-domain Grid technologies to secure data mining within a commercial environment. We describe this Grid infrastructure and discuss its strengths and weaknesses.

AB - The Grid promises improvements in the effectiveness with which global businesses are managed if it enables distributed expertise to be efficiently applied to the analysis of distributed data. We report an ESRC-funded collaboration between EPCC in Edinburgh and Curtin University of Technology in Perth, Australia, that is applying public-domain Grid technologies to secure data mining within a commercial environment. We describe this Grid infrastructure and discuss its strengths and weaknesses.

M3 - Conference contribution

SN - 3-540-23564-7

SP - 696

EP - 703

BT - GRID AND COOPERATIVE COMPUTING GCC 2004, PROCEEDINGS

A2 - JIn, H

A2 - Pan, Y

A2 - Xiao, N

A2 - Sun, J

PB - Springer

CY - BERLIN

T2 - 3rd International Conference on Grid and Cooperative Computing (GCC 2004)

Y2 - 21 October 2004 through 24 October 2004

ER -

Applying grid technologies to distributed data mining

Abstract / Description of output

Conference

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Projects

INFORMING BUSINESS & REGIONAL POLICY

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