Grid-enabling data mining applications with DataMiningGrid: An architectural perspective

Vlado Stankovski; Martin Swain; Valentin Kravtsov; Thomas Niessen; Dennis Wegener; Joerg Kindermann; Werner Dubitzky

doi:10.1016/j.future.2007.05.004

Grid-enabling data mining applications with DataMiningGrid: An architectural perspective

Vlado Stankovski, Martin Swain, Valentin Kravtsov, Thomas Niessen, Dennis Wegener, Joerg Kindermann, Werner Dubitzky

Research output: Contribution to journal › Article › peer-review

69 Citations (Scopus)

Abstract

The DataMiningGrid system has been designed to meet the requirements of modern and distributed data mining scenarios. Based on the Globus Toolkit and other open technology and standards, the DataMiningGrid system provides tools and services facilitating the grid-enabling of data mining applications without any intervention on the application side. Critical features of the system include flexibility, extensibility, scalability, efficiency, conceptual simplicity and ease of use. The system has been developed and evaluated on the basis of a diverse set of use cases from different sectors in science and technology. The DataMiningGrid software is freely available under Apache License 2.0. (C) 2007 Elsevier B.V. All rights reserved.

Original language	English
Pages (from-to)	259-279
Journal	FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF GRID COMPUTING THEORY METHODS AND APPLICATIONS
Volume	24
Issue number	4
DOIs	https://doi.org/10.1016/j.future.2007.05.004
Publication status	Published (in print/issue) - Apr 2008

Keywords

data mining
distributed systems
web-based services

Access to Document

10.1016/j.future.2007.05.004

http://uir.ulster.ac.uk/4458/1/FGCS-2008-Stankovski-EtAl.pdf

Cite this

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title = "Grid-enabling data mining applications with DataMiningGrid: An architectural perspective",

abstract = "The DataMiningGrid system has been designed to meet the requirements of modern and distributed data mining scenarios. Based on the Globus Toolkit and other open technology and standards, the DataMiningGrid system provides tools and services facilitating the grid-enabling of data mining applications without any intervention on the application side. Critical features of the system include flexibility, extensibility, scalability, efficiency, conceptual simplicity and ease of use. The system has been developed and evaluated on the basis of a diverse set of use cases from different sectors in science and technology. The DataMiningGrid software is freely available under Apache License 2.0. (C) 2007 Elsevier B.V. All rights reserved.",

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year = "2008",

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Stankovski, V, Swain, M, Kravtsov, V, Niessen, T, Wegener, D, Kindermann, J & Dubitzky, W 2008, 'Grid-enabling data mining applications with DataMiningGrid: An architectural perspective', FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF GRID COMPUTING THEORY METHODS AND APPLICATIONS, vol. 24, no. 4, pp. 259-279. https://doi.org/10.1016/j.future.2007.05.004

Grid-enabling data mining applications with DataMiningGrid: An architectural perspective. / Stankovski, Vlado; Swain, Martin; Kravtsov, Valentin et al.
In: FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF GRID COMPUTING THEORY METHODS AND APPLICATIONS, Vol. 24, No. 4, 04.2008, p. 259-279.

Research output: Contribution to journal › Article › peer-review

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AU - Kravtsov, Valentin

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AU - Wegener, Dennis

AU - Kindermann, Joerg

AU - Dubitzky, Werner

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KW - distributed systems

KW - web-based services

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IS - 4

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Grid-enabling data mining applications with DataMiningGrid: An architectural perspective

Abstract

Keywords

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