Data Merging is a data integration process that combines data from multiple heterogeneous sources into a unified representation while resolving structural and semantic discrepancies to preserve data integrity and consistency.
195
Publications
13.9K
Citations
649
Authors
313
Institutions
Publications per year
2017–2026
61
Parents
Publications
195
The merge/purge problem for large databases
Mauricio A. Hernández, Salvatore J. Stolfo · 1995 · 804 citations · Full text
Methodologies for Cross-Domain Data Fusion: An Overview
Yu Zheng · IEEE Transactions on Big Data · 2015 · 441 citations
1–5 of 195
Authors
649
- HG
4
h-index
- FN
4
h-index
- SJ
3
h-index
- MA
3
h-index
- AH
3
h-index
1–5 of 649
Institutions
313
Stanford University
Stanford, United States
4 h-index
7 publications
215 citations
Ghent University
Ghent, Belgium
4 h-index
12 publications
447 citations
University of Washington
Seattle, United States
4 h-index
6 publications
393 citations
Microsoft (United States)
Redmond, United States
3 h-index
4 publications
1.4K citations
Columbia University
New York, United States
3 h-index
4 publications
2.1K citations
East China Normal University
Shanghai, China
3 h-index
8 publications
494 citations
University College London
London, United Kingdom
3 h-index
3 publications
65 citations
National Research Council
Rome, Italy
3 h-index
8 publications
317 citations
1–8 of 313
Venues
- International Journal of Remote Sensing
4 publications · 1.1K citations
4
h-index
- IEEE Transactions on Geoscience and Remote Sensing
3 publications · 122 citations
3
h-index
- Computers & Chemical Engineering
2 publications · 48 citations
3
h-index
- Data & Knowledge Engineering
DKE · 3 publications · 65 citations
3
h-index
- IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
3 publications · 55 citations
3
h-index
1–5