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Titlebook: Advances in Databases and Information Systems; 15th International C Johann Eder,Maria Bielikova,A Min Tjoa Conference proceedings 2011 Spri

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61#
發(fā)表于 2025-4-1 05:10:08 | 只看該作者
62#
發(fā)表于 2025-4-1 08:29:24 | 只看該作者
https://doi.org/10.1007/978-1-4899-7980-3ropose different methods for RA were published. To deal with specific characteristics of the data grid systems, such as dynamicity, heterogeneity and large-scale, many studies extend classic methods from distributed and parallel databases domains. Others invite fundamentally different methods based
63#
發(fā)表于 2025-4-1 12:25:19 | 只看該作者
Turing Patterns and Excitable Median with the database also to users with a low or moderate technical skill or in presence of huge volumes of, potentially heterogeneous, data. Recommendation is performed by extending query results with additional and potentially interesting items. Among the proposed techniques, current-state approach
64#
發(fā)表于 2025-4-1 16:18:21 | 只看該作者
65#
發(fā)表于 2025-4-1 20:22:53 | 只看該作者
Turing Patterns and Excitable Mediamethod. For queries involving a single dataset, like the Point Location Query, the Window (Distance Range) Query, the (Constrained) K Nearest Neighbor Query, the R*-tree (a data-driven structure) is a very popular choice of such a method. In this paper, we compare the performance of the R*-tree for
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