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- W130168672 abstract "A k-nearest neighbor (k-NN) query, which retrieves nearest k points from a database is one of the fundamental query types in spatial databases. An all k-nearest neighbor query (AkNN query), a variation of a k-NN query, determines the k-nearest neighbors for each point in the dataset in a query process. In this paper, we propose a method for processing AkNN queries in Hadoop. We decompose the given space into cells and execute a query using the MapReduce framework in a distributed and parallel manner. Using the distribution statistics of the target data points, our method can process given queries efficiently." @default.
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- W130168672 date "2012-01-01" @default.
- W130168672 modified "2023-10-13" @default.
- W130168672 title "Processing All k-Nearest Neighbor Queries in Hadoop" @default.
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- W130168672 doi "https://doi.org/10.1007/978-3-642-32281-5_34" @default.
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