A short guide to approximate geocoding
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Mar 27, 2018 - HTML
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record-linkage
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.
Here are 7 public repositories matching this topic...
A Flask app to take IDs and resolve them to Wikidata URIs
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Apr 8, 2019 - HTML
Blog of the American Statistical Association's Record Linkage Interest Group.
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Nov 29, 2022 - HTML
MINDFIRL stands for Minimum & Necessary Disclosure for Interactive Record Linkage. It is a software for interactive record linkage.
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Mar 27, 2023 - HTML
Discover Probable Duplicates in Plant Genetic Resources Collections
natural-language-processing
r
record-linkage
double-metaphone
plant-genetic-resources
pgr
double-metaphone-algorithm
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Aug 31, 2023 - HTML
pyspark-parallelised functions producing graph-theoretical metrics in connected component clusters for use in record-linkage (or other domains)
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Nov 9, 2023 - HTML
Emulates the methods the US Census Bureau uses to link people across multiple data sources, using open-source software (Splink) and simulated data (from pseudopeople).
data-science
spark
record-linkage
entity-resolution
fuzzy-matching
dask
census-bureau
data-matching
splink
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Updated
Oct 14, 2024 - HTML
Created by Halbert L. Dunn
Released 1946
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- 38 followers
- Organization
- entity-resolution
- Wikipedia
- Wikipedia