Privacy-Preserving Data Linkage and Geocoding: Current Approaches and Research Directions

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Fast Learning from Distributed Datasets without Entity Matching (2016, background): “, 2004]; security agencies integrate various sources for terrorism intelligence [Sweeney, 2005; Christen, 2006; Sproull et al., 2015].”
Data Matching (2012, background): “Data-Centric Systems and Applications Series Editors M. J. Carey S. Ceri Editorial Board P. Bernstein U. Dayal C. Faloutsos J. C. Freytag G. Gardarin W. Jonker V. Krishnamurthy M.-A. Neimat P. Valduriez G. Weikum K.-Y. Whang J. Widom For further volumes: http://www.springer.com/series/5258 Peter Chr”
A taxonomy of privacy-preserving record linkage techniques (2013, methodology): “The former are known as ‘three-party proto-cols’ and the latter as ‘two-party protocols’ [7,69,81].”
Febrl: a freely available record linkage system with a graphical user interface (2008, methodology): “These functions can be as simple as an exact string or a numerical comparison, can take variations and typographical errors into account (Cohen et al. 2003, Christen 2006), or can be as complex as a distance comparison based on look-up tables of geographic locations (longitudes and latitudes).”