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for Data-Intensive Analytical Systems    
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This web site is based upon work supported by the National Science Foundation under Grants No. IIS-0312266 and ISS-0635365.*

The objective of this praoject is to contribute to the fundamental knowledge and technologies required for the development of high-performance intelligent storage systems and to the advancement of the infrastructure for scientific research. The focus is on the development of a scalable system geared toward the needs of analytical computing in data grid environments. The approach is based on certain principles of organizing and accessing multi-dimensional data on the storage, whose pursuit requires a higher-degree knowledge about the data. Keys to the realization of the project are the advances in the areas of indexing and clustering data in multi-dimensional feature spaces. To achieve high performance and scalability, the developed retrieval and clustering techniques build on the properties of new space-partitioning schemes. The project also deals with related practical problems, such as retrieving data with missing values.

 

* Disclaimer: Any opinions, findings and conclusions or recommendations expressed in this web site are those of the authors and do not necessarily reflect the views of the National Science Foundation (NSF).


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