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• W2096598900 abstract "Given two input collections of sets, a set-similarity join (SSJoin) identifies all pairs of sets, one from each collection, that have high similarity. Recent work has identified SSJoin as a useful primitive operator in data cleaning. In this paper, we propose new algorithms for SSJoin. Our algorithms have two important features: They are exact, i.e., they always produce the correct answer, and they carry precise performance guarantees. We believe our algorithms are the first to have both features; previous algorithms with performance guarantees are only probabilistically approximate. We demonstrate the effectiveness of our algorithms using a thorough experimental evaluation over real-life and synthetic data sets." @default.
• W2096598900 created "2016-06-24" @default.
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• W2096598900 date "2006-09-01" @default.
• W2096598900 modified "2023-09-26" @default.
• W2096598900 title "Efficient exact set-similarity joins" @default.
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• W2096598900 doi "https://doi.org/10.5555/1182635.1164206" @default.
• W2096598900 hasPublicationYear "2006" @default.
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