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  • 标题:Evaluation of Scalable PRPL Schemes with a Native LSH Database Engine
  • 本地全文:下载
  • 作者:Dimitrios Karapiperis ; Chris T. Panagiotakopoulos ; Vassilios S. Verykios
  • 期刊名称:Computer Science & Information Technology
  • 电子版ISSN:2231-5403
  • 出版年度:2017
  • 卷号:7
  • 期号:6
  • 页码:125-132
  • DOI:10.5121/csit.2017.70612
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:In this paper, we present recent work which has been accomplished in the newly introducedresearch area of privacy preserving record linkage, and then, we present our L-fold redundantblocking scheme, that relies on the Locality-Sensitive Hashing technique for identifying similarrecords. These records have undergone an anonymization transformation using a Bloom filterbasedencoding technique. We perform an experimental evaluation of our state-of-the-artblocking method against four other rival methods and present the results by using LSHDB, anewly introduced parallel and distributed database engine.
  • 关键词:Locality-Sensitive Hashing; Record Linkage; Privacy-Preserving Record Linkage; Entity Resolution
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