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The DataMiningGrid Consortium developed a set of generic tools and services for deploying data mining applications on standards compliant grid service infrastructures. The developed software was released recently and it is available under an Open Source License. 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 addressed 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 architecture of the DataMiningGrid system is described in detail in the technical 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, recently published in the Journal of Grid Computing, Future Generation Computer Systems, Elsevier, Volume 24, Issue 4, April 2008, Pages 259-279. An overview of the DataMiningGrid system entitled "Digging Deep in the Data Mine with DataMiningGrid" will also be published soon in the premium IEEE Internet Computing magazine.
DataMiningGrid tools and services version 1.0 beta was released under Apache License V2.0. DataMiningGrid API version 1.0 beta is also availabe on CVS. Are you interested in grid-based data mining? - You are welcome to join the DataMiningGrid-community mailing list at SourceForge!
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Updated on June 26, 2008 |