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Efficient Methods for Database Storage and Retrieval ...
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由 S Aluru 著作2004被引用 2 次 — As a result, both storage and retrieval algorithms based on space-filling curves depend upon the size of the grid. This makes the run time of such algorithms ...
Efficient Methods for Database Storage and Retrieval ...
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2024年10月22日 — A popular solution employed is to visualize the records as points in multidimensional space and use a mapping from this multidimensional space ...
Efficient Methods for Database Storage and Retrieval ...
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由 S Aluru 著作2004被引用 2 次 — Space-filling curves are mappings from a multidimensional grid to a linear ordering. The path implied in the multidimensional space by the linear ordering,.
Efficient Methods for Database Storage and Retrieval Using ...
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This paper presents a distribution-independent algorithm for storing records with multiple keys using space-filling curves, and presents an algorithm for ...
The Application of Space-filling Curves to the Storage and ...
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由 J Lawder 著作2000被引用 140 次 — At the same time, the need for efficient methods is ever more important in an environment where databases become larger and more complex in their structures.
The Application of Space-Filling Curves to the Storage and ...
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A commonly used method to index multidimensional data in a similarity search scenario is through the use of Space Filling Curves (SFCs) (Lawder, 1999 ). An ...
14 Packing R-trees with Space-filling Curves - CUHK CSE
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由 J QI 著作2020被引用 28 次 — We propose a novel R-tree packing strategy based on space-filling curves. This strategy produces R-trees with an asymptotically optimal I/O complexity for ...
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Efficient Cost Modeling of Space-filling Curves
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A space-filling curve (SFC) maps points in a multi-dimensional space to one-dimensional points by discretizing the multi-dimensional space into cells and ...
Querying Multi-dimensional Data Indexed Using the Hilbert ...
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Mapping to one-dimensional values and then using a one- dimensional indexing method has been proposed as a way of indexing multi-dimensional data.
Data Locality and Multi-Dimensional Clustering in ...
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2023年12月21日 — Clustering works by grouping data based on their similarity and co-locating them so that we could effectively retrieve data during a search query.