Entity Deduplication
Entity Deduplication is the academic concept of identifying and merging multiple noisy or inconsistent representations of a real-world object within a dataset to ensure a single, accurate, and consistent record.
19
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1.5K
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53
Authors
30
Institutions
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2017–2026
4
Parents
19
Interactive deduplication using active learning
Sunita Sarawagi, Anuradha Bhamidipaty · 2002 · 693 citations
Iterative record linkage for cleaning and integration
Indrajit Bhattacharya, Lise Getoor · 2004 · 208 citations
Large-Scale Deduplication with Constraints Using Dedupalog
Arvind Arasu, Christopher Ré, Dan Suciu · 2009 · 177 citations
Learning linkage rules using genetic programming
Robert Isele, Christian Bizer · MADOC (University of Mannheim) · 2011 · 63 citations · Full text
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Indian Institute of Technology Bombay
Mumbai, India
2 h-index
4 publications
1.5K citations
Universidade Federal de Minas Gerais
Belo Horizonte, Brazil
2 h-index
7 publications
116 citations
Stanford University
Stanford, United States
2 h-index
4 publications
135 citations

Universidade Federal do Amazonas
Manaus, Brazil
2 h-index
3 publications
45 citations
Jordan University of Science and Technology
Irbid, Jordan
1 h-index
1 publications
22 citations
National Research Council
Rome, Italy
1 h-index
4 publications
40 citations
Microsoft (United States)
Redmond, United States
1 h-index
3 publications
531 citations
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo"
Pisa, Italy
1 h-index
4 publications
40 citations
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JDIQ · 2 publications · 32 citations
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Repository · 1 publications · 14 citations
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1 publications · 13 citations
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1 publications · 22 citations
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1 publications · 42 citations
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