MINDFIRL stands for Minimum & Necessary Disclosure for Interactive Record Linkage. It is a software for interactive record linkage.
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Updated
Mar 27, 2023 - HTML
Entity resolution (also known as data matching, data linkage, record linkage, and many other terms) is the task of finding entities in a dataset that refer to the same entity across different data sources (e.g., data files, books, websites, and databases). Entity resolution is necessary when joining different data sets based on entities that may or may not share a common identifier (e.g., database key, URI, National identification number), which may be due to differences in record shape, storage location, or curator style or preference.
MINDFIRL stands for Minimum & Necessary Disclosure for Interactive Record Linkage. It is a software for interactive record linkage.
pyspark-parallelised functions producing graph-theoretical metrics in connected component clusters for use in record-linkage (or other domains)
Discover Probable Duplicates in Plant Genetic Resources Collections
Blog of the American Statistical Association's Record Linkage Interest Group.
A short guide to approximate geocoding
A Flask app to take IDs and resolve them to Wikidata URIs
Created by Halbert L. Dunn
Released 1946