翻訳と辞書
Words near each other
・ Records Continuum
・ Records life-cycle
・ Record Collection
・ Record Collection (album)
・ Record Collector
・ Record Collectors Are Pretentious Assholes
・ Record Commission
・ Record Fair
・ Record Herald
・ Record Hill
・ Record Hospital
・ Record Kicks
・ Record label
・ Record labels owned by James Brown
・ Record labels owned by Sony BMG
Record linkage
・ Record locator
・ Record locking
・ Record Management Services
・ Record Management System
・ Record Mirror
・ Record News
・ Record of Agarest War
・ Record of Agarest War 2
・ Record of Agarest War Zero
・ Record of Decision
・ Record of Lodoss War
・ Record of Music
・ Record of School Achievement
・ Record of the Nephites


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Record linkage : ウィキペディア英語版
Record linkage
Record linkage (RL) refers to the task of finding records in a data set that refer to the same entity across different data sources (e.g., data files, books, websites, databases). Record linkage is necessary when joining data sets based on entities that may or may not share a common identifier (e.g., database key, URI, National identification number), as may be the case due to differences in record shape, storage location, and/or curator style or preference. A data set that has undergone RL-oriented reconciliation may be referred to as being ''cross-linked''.
Record Linkage is called Data Linkage in many jurisdictions, but is the same process.
== History ==
The initial idea of record linkage goes back to Halbert L. Dunn in his 1946 article titled "Record Linkage" published in the ''American Journal of Public Health''. Howard Borden Newcombe laid the probabilistic foundations of modern record linkage theory in a 1959 article in ''Science'', which were then formalized in 1969 by Ivan Fellegi and Alan Sunter who proved that the probabilistic decision rule they described was optimal when the comparison attributes were conditionally independent. Their pioneering work "A Theory For Record Linkage" remains the mathematical foundation for many record linkage applications even today.
Since the late 1990s, various machine learning techniques have been developed that can, under favorable conditions, be used to estimate the conditional probabilities required by the Fellegi-Sunter (FS) theory. Several researchers have reported that the conditional independence assumption of the FS algorithm is often violated in practice; however, published efforts to explicitly model the conditional dependencies among the comparison attributes have not resulted in an improvement in record linkage quality.
Record linkage can be done entirely without the aid of a computer, but the primary reasons computers are often used for record linkage are to reduce or eliminate manual review and to make results more easily reproducible. Computer matching has the advantages of allowing central supervision of processing, better quality control, speed, consistency, and better reproducibility of results.;

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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