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 journalArticle

    66 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 languageEnglish
    Pages (from-to)259-279
    JournalFUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF GRID COMPUTING THEORY METHODS AND APPLICATIONS
    Volume24
    Issue number4
    DOIs
    Publication statusPublished - Apr 2008

    Keywords

    • data mining
    • distributed systems
    • web-based services

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