Record linkage

Nick Koudas · Sunita Sarawagi · Divesh Srivastava

289 citations0/0 files storedACM SIGMOD International Conference on Management of Data (SIGMOD)

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Data Quality and Management Survey Methodology and Nonresponse Machine Learning and Data Classification

Abstract

This tutorial provides a comprehensive and cohesive overview of the key research results in the area of record linkage methodologies and algorithms for identifying approximate duplicate records, and available tools for this purpose. It encompasses techniques introduced in several communities including databases, information retrieval, statistics and machine learning. It aims to identify similarities and differences across the techniques as well as their merits and limitations.

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References

1969A Theory for Record Linkage 1989Advances in Record-Linkage Methodology as Applied to Matching the 1985 Census of Tampa, Florida 2003A comparison of string distance metrics for name-matching tasks 1999The State of Record Linkage and Current Research Problems 1995The merge/purge problem for large databases 2003Exploratory Data Mining and Data Cleaning 2006A Primitive Operator for Similarity Joins in Data Cleaning 1996The field matching problem: Algorithms and applications

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2020An Overview of End-to-End Entity Resolution for Big Data 2007Privacy preserving schema and data matching 2013A Blocking Framework for Entity Resolution in Highly Heterogeneous Information Spaces 2010Global detection of complex copying relationships between sources 2013Meta-Blocking: Taking Entity Resolutionto the Next Level 2014Incremental record linkage

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