Probabilistic Matching
Probabilistic Matching is a data integration method that belongs to the class of matching techniques and is distinguished by its use of statistical models to compute the likelihood of correspondences between records based on partial or uncertain attribute agreements.
215
Publications
15.1K
Citations
601
Authors
299
Institutions
Publications per year
2017–2026
32
Variants
Probabilistic Record Linkage
215
Ivan P. Fellegi, A. B. Sunter · Journal of the American Statistical Association · 1969 · 2.4K citations
Matching with PROSAC — Progressive Sample Consensus
Ondřej Chum, Jiřı́ Matas · 2005 · 1.1K citations · Full text
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601
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299

University of York
York, United Kingdom
7 h-index
16 publications
1.2K citations
University of Maryland, College Park
College Park, United States
6 h-index
11 publications
340 citations
University College London
London, United Kingdom
5 h-index
12 publications
593 citations
University of Pennsylvania
Philadelphia, United States
4 h-index
6 publications
119 citations
University of California, Berkeley
Berkeley, United States
4 h-index
9 publications
2.5K citations
University of California, Los Angeles
Los Angeles, United States
4 h-index
6 publications
264 citations

University of Bristol
Bristol, United Kingdom
4 h-index
9 publications
827 citations
University of Michigan
Ann Arbor, United States
3 h-index
3 publications
106 citations
1–8 of 299
TPAMI · 11 publications · 1.3K citations
11
h-index
5 publications · 2.8K citations
5
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Repository · 3 publications · 47 citations
3
h-index
2 publications · 80 citations
2
h-index
Conference · 2 publications · 89 citations
2
h-index
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