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• W2074804516 abstract "In this paper, we present a framework which relies on the Map/Reduce paradigm in order to distribute computations among underutilized commodity hardware resources uniformly, without imposing an extra overhead on the existing infrastructure. The volume of the distance computations, required for records comparison, is largely reduced by utilizing the so-called Locality-Sensitive Hashing technique, which is optimally tuned in order to avoid highly redundant computations. Experimental results illustrate the effectiveness of our distributed framework in finding the matched record pairs in voluminous data sets." @default.
• W2074804516 created "2016-06-24" @default.
• W2074804516 creator A5021354735 @default.
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• W2074804516 date "2014-01-01" @default.
• W2074804516 modified "2023-10-02" @default.
• W2074804516 title "A distributed near-optimal LSH-based framework for privacy-preserving record linkage" @default.
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• W2074804516 doi "https://doi.org/10.2298/csis140215040k" @default.
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