
We 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 problemsolving 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 sectorindependent datamining tools and services for the grid. To demonstrate the developed technology, the project implemented eight demonstrator applications in escience and ebusiness (...more).
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Few demonstration examples are available on YouTube.
Our good friends: Pickleball Machines
The article Digging Deep in the Data Mine with DataMiningGrid, which was published in the November/December 2008 issue of the IEEE Internet Computing magazine presents a highlevel overview of the DataMiningGrid system and its applications.
The DataMiningGrid system is described in detail in the paper Gridenabling 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, published in Future Generation Computer Systems, Volume 24, Issue 4, April 2008, Pages 259279.
Over 1600 downloads as of December 2008.
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.
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Updated on June 26, 2009
