Data Integration
Data Integration is the process of combining data from heterogeneous sources into a coherent, unified view that ensures consistency, accuracy, and accessibility for analytical and operational purposes across domains such as data management, business intelligence, and spatial epidemiology.
14.5K
Publications
803.8K
Citations
40.7K
Authors
6.8K
Institutions
Publications per year
2017–2026
4.6K
Variants
Spatial Data MaintenanceSpatial Data Standards
14.5K
Combining labeled and unlabeled data with co-training
Avrim Blum, Tom M. Mitchell · 1998 · 5.6K citations · Full text
Kurt Bollacker, Colin Evans, Praveen Paritosh et al. · 2008 · 5K citations
1–5 of 14.5K
40.7K
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28
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1–5 of 40.7K
6.8K
Stanford University
Stanford, United States
66 h-index
466 publications
60K citations
University of Washington
Seattle, United States
57 h-index
319 publications
37.8K citations
University of California San Diego
San Diego, United States
48 h-index
316 publications
20.3K citations
IBM (United States)
Armonk, United States
48 h-index
392 publications
25.7K citations
University of Michigan
Ann Arbor, United States
46 h-index
206 publications
17.1K citations
University of Oxford
Oxford, United Kingdom
45 h-index
311 publications
17.9K citations

European Bioinformatics Institute
Cambridge, United Kingdom
44 h-index
494 publications
232.5K citations
University of California, Berkeley
Berkeley, United States
44 h-index
191 publications
21.2K citations
1–8 of 6.8K
149 publications · 15.3K citations
56
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PVLDB · 141 publications · 9.6K citations
54
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TKDE · 107 publications · 12K citations
43
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74 publications · 11.9K citations
43
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51 publications · 13.7K citations
39
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