Academic Journal
blocking: An R Package for Blocking of Records for Record Linkage and Deduplication.
| Title: | blocking: An R Package for Blocking of Records for Record Linkage and Deduplication. |
|---|---|
| Authors: | Beręsewicz, Maciej, Struzik, Adam |
| Source: | R Journal; Jun2026, Vol. 18 Issue 2, p161-174, 14p |
| Subject Terms: | Indexing, Graph algorithms, K-nearest neighbor classification, Data integration, Medical record linkage |
| Abstract: | Entity resolution (probabilistic record linkage, deduplication) is essential for bringing together data needed for estimation or other analyses based on multiple sources. It aims to link records that refer to the same entity (e.g., person, company) in the absence of unique identifiers. Without identifiers, researchers must specify which records to compare to calculate matching probability and reduce computational complexity. Traditional deterministic blocking uses common variables like first letters of names, sex, or dates of birth, but assumes error-free, complete data. To address this limitation, we developed the R package blocking, which uses approximate nearest neighbour search and graph algorithms to reduce the number of comparisons. This paper presents the package design, functionalities, and two case studies. [ABSTRACT FROM AUTHOR] |
| Copyright of R Journal is the property of R Foundation and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Complementary Index |
| FullText | Text: Availability: 0 |
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| Header | DbId: edb DbLabel: Complementary Index An: 196369165 RelevancyScore: 1061 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 1060.76538085938 |
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| Items | – Name: Title Label: Title Group: Ti Data: blocking: An R Package for Blocking of Records for Record Linkage and Deduplication. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Beręsewicz%2C+Maciej%22">Beręsewicz, Maciej</searchLink><br /><searchLink fieldCode="AR" term="%22Struzik%2C+Adam%22">Struzik, Adam</searchLink> – Name: TitleSource Label: Source Group: Src Data: R Journal; Jun2026, Vol. 18 Issue 2, p161-174, 14p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Indexing%22">Indexing</searchLink><br /><searchLink fieldCode="DE" term="%22Graph+algorithms%22">Graph algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22K-nearest+neighbor+classification%22">K-nearest neighbor classification</searchLink><br /><searchLink fieldCode="DE" term="%22Data+integration%22">Data integration</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+record+linkage%22">Medical record linkage</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Entity resolution (probabilistic record linkage, deduplication) is essential for bringing together data needed for estimation or other analyses based on multiple sources. It aims to link records that refer to the same entity (e.g., person, company) in the absence of unique identifiers. Without identifiers, researchers must specify which records to compare to calculate matching probability and reduce computational complexity. Traditional deterministic blocking uses common variables like first letters of names, sex, or dates of birth, but assumes error-free, complete data. To address this limitation, we developed the R package blocking, which uses approximate nearest neighbour search and graph algorithms to reduce the number of comparisons. This paper presents the package design, functionalities, and two case studies. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of R Journal is the property of R Foundation and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edb&AN=196369165 |
| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 161 Subjects: – SubjectFull: Indexing Type: general – SubjectFull: Graph algorithms Type: general – SubjectFull: K-nearest neighbor classification Type: general – SubjectFull: Data integration Type: general – SubjectFull: Medical record linkage Type: general Titles: – TitleFull: blocking: An R Package for Blocking of Records for Record Linkage and Deduplication. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Beręsewicz, Maciej – PersonEntity: Name: NameFull: Struzik, Adam IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 20734859 Numbering: – Type: volume Value: 18 – Type: issue Value: 2 Titles: – TitleFull: R Journal Type: main |
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