Data quality and record linkage techniques

By T. N. Herzog, F. Scheuren, W. Winkler. 2007

569 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/da326eaf19e9659418b4f1ed9f31ef68845889d1

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In Artificial Intelligence

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In Management Science and Operations Research

Citations in the corpus

Disambiguation and co-authorship networks of the U.S. patent inventor database (1975–2010) (2014, background): “One popular approach for making classifications based on pairwise computation feasible is blocking the records first, and restricting comparisons within blocks (On et al., 2006, Bilenko et al., 2006, Herzog et al., 2007, Smalheiser and Torvik 2009, Reuter and Cimiano, 2012).”
Big data integration (2013, background): “Record linkage refers to the task of identifying records that refer to the same logical entity across different data sources, especially when they may or may not share a common identifier across the data sources [24], [19], [30], [46], [14].”
Trends in Cleaning Relational Data: Consistency and Deduplication (2015, background): “The topic has been extensively covered in many surveys [81, 40, 39, 90, 58, 70]: some aim at providing an extensive overview of all the steps involved in data deduplication [40, 58, 70], some focus on the design of similarity metrics [90, 81], some discuss the efficiency aspect of data deduplication”
Data Matching (2012, methodology): “Suitland, USA William E. Winkler U. S. Census Bureau viii Foreword Preface Objectives Data matching is the task of identifying, matching, and merging records that correspond to the same entities from several databases.”
Efficient private record linkage of very large datasets (2013, methodology): “External blocking is the application of the widely used Standard Blocking (Herzog et al. 2007) to CLKs with an external encrypted key.”
Entity resolution with iterative blocking (2009, methodology): “Various blocking techniques [1], [2], [3], [4], [5], [6], [7], [8], [9] have been proposed to make ER scalable.”
A Novel Error-Tolerant Anonymous Linking Code (2011, background): “The most basic and common ALC consists of three simple steps [9].”
A taxonomy of privacy-preserving record linkage techniques (2013, background): “Integrating data allows the identi-ﬁcation (and possible automatic correction) of conﬂicting data values, the enrichment of data, or the imputation of missing values [6].”