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GridMiner Demo

Peter Brezany

Computational Grids, federations of geographically distributed heterogeneous hardware, software, databases, and other resources, are emerging in academia, between international research labs and within commercial organizations. Built on the Internet and the World Wide Web, the Grid is considered as a new class of infrastructure for 21st century science and business.

The proposed project aims to extend the state-of-art Grid technology to a completely new and societally important category of applications. It will develop and thoroughly evaluate the novel concepts of knowledge discovery in databases and other large data sets attached to the Grid. The project focuses its effort on data mining and On-Line Analytical Processing (OLAP), two complementary technologies, which, if applied in conjunction, can provide a highly efficient and powerful data analysis and knowledge discovery solution on the Grid. These two technologies will be investigated and experimentally implemented within a novel infrastructure called GridMiner, which will be built on top of services developed by other Grid projects.

Parallel and distributed query evaluation and optimization techniques, like OLAP aggregation and query results caching, will be extended and adapted to this environment to guarantee high performance and good scalability even for very large data sets as they commonly occur in large-scale scientific and commercial applications.

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Date and time: 
Friday, 18 April, 2008 - 14:00
45 minutes