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- W2997788379 abstract "The method of objects probabilistic search is developed based on the necessary proximity conditions in a Euclidean space, which were previously proved for the Levenshtein’s metric. The method is based on a random selection of k pivots in Euclidean space among the original objects, projecting all source objects in a k-dimensional Euclidean space, filling special hash data structures, and fast search facilities, similar to the desired, based on proven necessary conditions for the objects proximity in Euclidean space. Experimental studies of the proposed method show the higher speed in comparison with the known method." @default.
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- W2997788379 date "2020-01-01" @default.
- W2997788379 modified "2023-10-14" @default.
- W2997788379 title "Proximate Objects Probabilistic Searching Method" @default.
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- W2997788379 doi "https://doi.org/10.1007/978-3-030-37618-5_20" @default.
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