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    The Data Mining Tools and Services for Grid Computing Environments (DataMiningGrid) Consortium is developing tools and services for deploying data mining applications on the grid. Future and emerging complex problem-solving environments are characterised by increasing amounts of digital data and rising demands for coordinated resource sharing across geographically dispersed sites. Next generation grid technologies are promising to provide the necessary infrastructure facilitating seamless sharing of computing resources. Currently there exists no coherent framework for developing and deploying data mining applications on the grid. The DataMiningGrid project addreses this gap by developing generic and sector-independent data-mining tools and services for the grid. To demonstrate the developed technology, the project implemented a range of demonstrator applications in e-science and e-business (...more).

    The DataMiningGrid project is a shared cost Strategic Targeted Research Project (STREP) granted by the European Commission (grant no. IST-2004-004475). It was part of the Sixth Framework Programme of the Information Society Technologies Programme (IST). The grant period was September 1, 2004 to November 30, 2006. The DataMiningGrid Consortium comprises of five partners from four countries. Download our basic facts sheet to obtain more information.

    SPECIAL NEWS, 29 May 2007

    The paper entitled Grid-enabling data mining applications with DataMiningGrid: An architectural perspective of the authors Vlado Stankovski, Martin Swain, Valentin Kravtsov, Thomas Niessen, Dennis Wegener, Joerg Kindermann and Werner Dubitzky, is accepted for publication in the Journal of Grid Computing, Future Generation Computer Systems (Elsevier).

    SOFTWARE RELEASE (3 March 2007) - over 500 downloads as of 29 May 2007

    DataMiningGrid tools and services version 1.0 beta released under Apache License V2.0.

    DataMiningGrid API version 1.0 beta availabe on CVS.

    The DataMiningGrid test bed is open for participation.

    Are you i nterested in grid-based data mining?

    - You are welcome to join the DataMiningGrid-community mailing list!

     

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    Updated on May 29, 2007