Digging deep into the data mine with DataMiningGrid

V. Stankovski, M. Swain, V. Kravtsov, T. Niessen, D. Wegener, J. Kindermann, W. Dubitzky

Allbwn ymchwil: Cyfraniad at gyfnodolynErthygladolygiad gan gymheiriaid


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.
Iaith wreiddiolSaesneg
Tudalennau (o-i)69-76
Nifer y tudalennau8
CyfnodolynIEEE Internet Computing
Rhif cyhoeddi6
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 11 Tach 2008

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