Structured P2P Search Method to Support Multi-Dimensional Range Queries
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Abstract
A new method called hierarchical clustering queries system is presented.With space filling curve,the system maps data objects in high dimension semantic space into an adjacent range in one dimensional space.According to the mapping process,it reports on a hierarchical clustering method.Similar multi-dimensional data maps to same cluster and the data in same cluster have more comparability and smaller range space.This method can drastically reduce the bandwidth required for query.Simulation results showed that the method has a good query accuracy and scalability.
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