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.
|Journal||IEEE Internet Computing|
|Publication status||Published - Nov 2008|
Stankovski, V., Trnkoczy, J., Swain, M., Dubitzky, W., Kravtsov, V., Schuster, A., Niessen, T., Wegener, D., May, M., Röhm, M., & Franke, J. (2008). Digging Deep into the Data Mine with DataMiningGrid. IEEE Internet Computing, 12(6), 69-76.