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Digging deep into the data mine with DataMiningGrid

: Stankovski, V.; Swain, M.; Niessen, T.; Wegener, D.; Röhm, M.; Trnkoczy, J.; May, M.; Franke, J.; Schuster, A.; Dubitzky, W.

Postprint urn:nbn:de:0011-n-841234 (295 KByte PDF)
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Created on: 14.11.2008

IEEE Internet Computing 12 (2008), No.6, pp.69-76
ISSN: 1089-7801
Journal Article, Electronic Publication
Fraunhofer IAIS ()

As modern data mining applications increase in complexity, so too do their demands for resources. Grid computing is one of several emerging networked computing paradigms promising to meet the requirements of heterogeneous, large-scale, and distributed data mining applications. Despite this promise, there are still too many issues to be resolved before grid technology is commonly applied to large-scale data mining tasks. To address some of these issues, the authors developed the DataMiningGrid system. It integrates a diverse set of programs and application scenarios within a single framework, and features scalability, flexible extensibility, sophisticated support for relevant standards and different users.