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

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Stankovski, Vlado, Swain, Martin, Kravtsov, Valentin, Niessen, Thomas, Wegener, Dennis, Kindermann, Joerg and Dubitzky, Werner (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, 24 (4). pp. 259-279. [Journal article]

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DOI: 10.1016/j.future.2007.05.004

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.

Item Type:Journal article
Keywords:data mining; distributed systems; web-based services
Faculties and Schools:Faculty of Life and Health Sciences
Faculty of Life and Health Sciences > School of Biomedical Sciences
Research Institutes and Groups:Biomedical Sciences Research Institute
Biomedical Sciences Research Institute > Molecular Medicine
ID Code:4458
Deposited By:Professor Werner Dubitzky
Deposited On:10 Jan 2012 14:50
Last Modified:07 Apr 2014 14:17

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