Article

Record linkage: similarity measures and algorithms

Authors:

Nick Koudas,

Sunita Sarawagi,

Divesh SrivastavaAuthors Info & Claims

SIGMOD '06: Proceedings of the 2006 ACM SIGMOD international conference on Management of data

Pages 802 - 803

https://doi.org/10.1145/1142473.1142599

Published: 27 June 2006 Publication History

Get Access

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.

References

[1]

C. Batini, T. Catarci, and M. Scannapieco. A survey of data quality issues in cooperative information systems. Pre-conference ER tutorial, 2004.

Google Scholar

[2]

T. Johnson and P. Dasu. Data quality and data cleaning: An overview. SIGMOD tutorial, 2003.

Digital Library

Google Scholar

[3]

N. Koudas and D. Srivastava. Approximate joins: concepts and techniques. VLDB tutorial, 2005.

Digital Library

Google Scholar

Cited By

View all

Yang LYe HLiu XMao YZhang J(2023)Authenticating q-Gram-Based Similarity Search Results for Outsourced String DatabasesMathematics10.3390/math1109212811:9(2128)Online publication date: 1-May-2023
https://doi.org/10.3390/math11092128
Manzano FAvalos D(2023)Análisis de calidad de los datos en las estadísticas públicas y privadas, ante la implementación del Big DataCiencias Administrativas10.24215/23143738e119(119)Online publication date: 14-Mar-2023
https://doi.org/10.24215/23143738e119
Shu YZhang JHuang GChi CHe J(2023)Entity alignment via graph neural networks: a component-level studyWorld Wide Web10.1007/s11280-023-01221-826:6(4069-4092)Online publication date: 29-Nov-2023
https://doi.org/10.1007/s11280-023-01221-8
Show More Cited By

Index Terms

Record linkage: similarity measures and algorithms
1. Information systems
  1. Information retrieval
    1. Information retrieval query processing

Recommendations

A taxonomy of privacy-preserving record linkage techniques

The process of identifying which records in two or more databases correspond to the same entity is an important aspect of data quality activities such as data pre-processing and data integration. Known as record linkage, data matching or entity ...
Improving record linkage performance in the presence of missing linkage data

Display Omitted Three novel methods were validated to solve missing data problem in record linkage.Two variants of the Linkage Extension method were implemented.All three new methods produce better results than existing methods.Weight Distribution and ...
Scalable Privacy-Preserving Record Linkage for Multiple Databases
CIKM '14: Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management

Privacy-preserving record linkage (PPRL) is the process of identifying records that correspond to the same real-world entities across several databases without revealing any sensitive information about these entities. Various techniques have been ...

Comments

Information & Contributors

Information

Published In

SIGMOD '06: Proceedings of the 2006 ACM SIGMOD international conference on Management of data

June 2006

830 pages

ISBN:1595934340

DOI:10.1145/1142473

General Chairs:
Clement Yu
University of Illinois at Chicago
,
Peter Scheuermann
Northwestern University
,
Program Chair:
Surajit Chaudhuri
Microsoft Research

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 June 2006

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Article

Conference

SIGMOD/PODS06

Sponsor:

SIGMOD/PODS06: International Conference on Management of Data and Symposium on Principles Database and Systems

June 27 - 29, 2006

IL, Chicago, USA

Acceptance Rates

Overall Acceptance Rate 785 of 4,003 submissions, 20%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

199
Total Citations
View Citations
2,322
Total Downloads

Downloads (Last 12 months)35
Downloads (Last 6 weeks)1

Reflects downloads up to 22 Sep 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Yang LYe HLiu XMao YZhang J(2023)Authenticating q-Gram-Based Similarity Search Results for Outsourced String DatabasesMathematics10.3390/math1109212811:9(2128)Online publication date: 1-May-2023
https://doi.org/10.3390/math11092128
Manzano FAvalos D(2023)Análisis de calidad de los datos en las estadísticas públicas y privadas, ante la implementación del Big DataCiencias Administrativas10.24215/23143738e119(119)Online publication date: 14-Mar-2023
https://doi.org/10.24215/23143738e119
Shu YZhang JHuang GChi CHe J(2023)Entity alignment via graph neural networks: a component-level studyWorld Wide Web10.1007/s11280-023-01221-826:6(4069-4092)Online publication date: 29-Nov-2023
https://doi.org/10.1007/s11280-023-01221-8
Zhao XZeng WTang JZhao XZeng WTang J(2023)Introduction to Entity AlignmentEntity Alignment10.1007/978-981-99-4250-3_1(3-13)Online publication date: 26-Oct-2023
https://doi.org/10.1007/978-981-99-4250-3_1
樊沁(2022)Entity Resolution Algorithm Based on Locality Sensitive Hash and Fuzzy JoinHans Journal of Data Mining10.12677/HJDM.2022.12302812:03(280-296)Online publication date: 2022
https://doi.org/10.12677/HJDM.2022.123028
Ilyas IRekatsinas TKonda VPound JQi XSoliman MIves ZBonifati AEl Abbadi A(2022)Saga: A Platform for Continuous Construction and Serving of Knowledge at ScaleProceedings of the 2022 International Conference on Management of Data10.1145/3514221.3526049(2259-2272)Online publication date: 10-Jun-2022
https://dl.acm.org/doi/10.1145/3514221.3526049
Ilyas IRekatsinas T(2022)Machine Learning and Data Cleaning: Which Serves the Other?Journal of Data and Information Quality10.1145/350671214:3(1-11)Online publication date: 21-Jul-2022
https://dl.acm.org/doi/10.1145/3506712
Ma HGuan SToomey CWu YSelcuk Candan KLiu HAkoglu LLuna Dong XTang J(2022)Diversified Subgraph Query Generation with Group FairnessProceedings of the Fifteenth ACM International Conference on Web Search and Data Mining10.1145/3488560.3498525(686-694)Online publication date: 11-Feb-2022
https://dl.acm.org/doi/10.1145/3488560.3498525
Ma HGuan SWang MChang YWu Y(2022)Subgraph Query Generation with Fairness and Diversity Constraints2022 IEEE 38th International Conference on Data Engineering (ICDE)10.1109/ICDE53745.2022.00278(3106-3118)Online publication date: May-2022
https://doi.org/10.1109/ICDE53745.2022.00278
Muneer INawab R(2022)Cross-Lingual Text Reuse Detection at sentence level for English–Urdu language pairComputer Speech and Language10.1016/j.csl.2022.10138175:COnline publication date: 1-Sep-2022
https://dl.acm.org/doi/10.1016/j.csl.2022.101381
Show More Cited By

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

A taxonomy of privacy-preserving record linkage techniques

Improving record linkage performance in the presence of missing linkage data

Scalable Privacy-Preserving Record Linkage for Multiple Databases

Comments

Published In

Sponsors

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Conference

Acceptance Rates

Other Metrics

Article Metrics

Other Metrics

Cited By

Login options

Full Access

PDF

eReader

Abstract

References

Cited By

Index Terms

Recommendations

A taxonomy of privacy-preserving record linkage techniques

Improving record linkage performance in the presence of missing linkage data

Scalable Privacy-Preserving Record Linkage for Multiple Databases

Comments

Information

Published In

Sponsors

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Conference

Acceptance Rates

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Get Access

Login options

Full Access

View options

PDF

eReader

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations