Publication: Category- and selection-enabled nearest neighbor joins
Category- and selection-enabled nearest neighbor joins
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Cafagna, F., Böhlen, M. H., & Bracher, A. (2017). Category- and selection-enabled nearest neighbor joins. Information Systems, 68, 3–16. https://doi.org/10.1016/j.is.2017.01.006
Abstract
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This paper proposes a category- and selection-enabled nearest neighbor join (NNJ) between relation r and relation s, with similarity on T and support for category attributes C and selection predicate θ. Our solution does not suffer from redundant fetches and index false hits, which are the main performance bottlenecks of current nearest neighbor join techniques. A category-enabled NNJ leverages the category attributes C for query evaluation. For example, the categories of relation r can be used to limit relation s accessed at most onc
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- Cafagna, Francesco
- Bracher, Annelies
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Citations
Cafagna, F., Böhlen, M. H., & Bracher, A. (2017). Category- and selection-enabled nearest neighbor joins. Information Systems, 68, 3–16. https://doi.org/10.1016/j.is.2017.01.006
