Data Matching: Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection

Data matching (also known as record or data linkage, entity resolution, object identification, or field matching) is the task of identifying, matching and merging records that correspond to the same entities from several databases or even within one database. Based on research in various domains inc...

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Detalles Bibliográficos
Autor principal: Christen, Peter
Lenguaje:eng
Publicado: Springer 2012
Materias:
Computing and Computers
Acceso en línea:http://cds.cern.ch/record/1488418
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author Christen, Peter
author_facet Christen, Peter
author_sort Christen, Peter
collection CERN
description Data matching (also known as record or data linkage, entity resolution, object identification, or field matching) is the task of identifying, matching and merging records that correspond to the same entities from several databases or even within one database. Based on research in various domains including applied statistics, health informatics, data mining, machine learning, artificial intelligence, database management, and digital libraries, significant advances have been achieved over the last decade in all aspects of the data matching process, especially on how to improve the accuracy of da
id cern-1488418
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2012
publisher Springer
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spelling cern-14884182021-04-22T00:11:15Zhttp://cds.cern.ch/record/1488418engChristen, PeterData Matching: Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate DetectionComputing and ComputersData matching (also known as record or data linkage, entity resolution, object identification, or field matching) is the task of identifying, matching and merging records that correspond to the same entities from several databases or even within one database. Based on research in various domains including applied statistics, health informatics, data mining, machine learning, artificial intelligence, database management, and digital libraries, significant advances have been achieved over the last decade in all aspects of the data matching process, especially on how to improve the accuracy of daSpringeroai:cds.cern.ch:14884182012
spellingShingle Computing and Computers
Christen, Peter
Data Matching: Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection
title Data Matching: Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection
title_full Data Matching: Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection
title_fullStr Data Matching: Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection
title_full_unstemmed Data Matching: Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection
title_short Data Matching: Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection
title_sort data matching: concepts and techniques for record linkage, entity resolution, and duplicate detection
topic Computing and Computers
url http://cds.cern.ch/record/1488418
work_keys_str_mv AT christenpeter datamatchingconceptsandtechniquesforrecordlinkageentityresolutionandduplicatedetection

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