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- W2023488834 abstract "This paper proposes the nearest neighbor join, r x T [G, Θ] s, with similarity on T, and integrated support for grouping attributes G and selection predicates Θ. The corresponding valuation algorithm, roNNJ, is robust and does not suffer from redundant fetches and index false hits, which are major performance bottlenecks in nearest neighbour joins that do not support grouping attributes and selection predicates. Our solution does not compute redundant fetches since it accesses the fact table only once, and uses the groups of the outer relation to limit the fact table to its relevant portions. We experimentally evaluate our solution using a data warehouse that manages analyses of animal feeds, and the TPC-H." @default.
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- W2023488834 date "2015-10-22" @default.
- W2023488834 modified "2023-09-25" @default.
- W2023488834 title "Nearest Neighbour Join with Groups and Predicates" @default.
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- W2023488834 doi "https://doi.org/10.1145/2811222.2811225" @default.
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