Distributed data mining deals with the problem of data analysis in environments with distributed data, computing nodes, and users. Peer-to-peer computing is emerging as a new dist...
Souptik Datta, Kanishka Bhaduri, Chris Giannella, ...
Grid computing is a form of distributed computing that involves coordinating and sharing computing, application, data storage or network resources across dynamic and geographicall...
Data sharing is one of the most important research areas in data grid. Distributed data resource and heterogeneous data schema bring difficulties to data Access and sharing. This ...
Heterogeneous distributed environments or grid environments provide large computing resources for the execution of large scientific applications. The effective use of those plat...
In this paper, we describe an analysis tool based on the statistical environment R, GridR, which allows using the collection of methodologies available as R packages in a grid env...
Dennis Wegener, Thierry Sengstag, Stelios Sfakiana...