Incremental Database Updates
Incremental Database Updates is a database curation methodology that involves the systematic addition, modification, or removal of records in a reference database in discrete, successive batches or stages, as opposed to full reinitialization, thereby maintaining data continuity and minimizing computational overhead during periodic content integration.
177
Publications
12K
Citations
450
Authors
194
Institutions
Publications per year
2017–2026
20
Parents
177
Efficiently updating materialized views
José A. Blakeley, Per-Åke Larson, Frank Wm. Tompa · ACM SIGMOD Record · 1986 · 427 citations · Full text
Continuous queries over append-only databases
Douglas B. Terry, David Theo Goldberg, David M. Nichols et al. · 1992 · 404 citations
On the semantics of updates in databases
Ronald Fagin, Jeffrey D. Ullman, Moshe Y. Vardi · 1983 · 337 citations
1–5 of 177
450
5
h-index
3
h-index
Institut national de recherche en sciences et technologies du numérique, France
3 publications · 264 citations
3
h-index
3
h-index
3
h-index
1–5 of 450
194
Stanford University
Stanford, United States
10 h-index
17 publications
1.5K citations

National Yang Ming Chiao Tung University
Hsinchu, Taiwan
5 h-index
10 publications
358 citations

University of Edinburgh
Edinburgh, United Kingdom
5 h-index
12 publications
2.4K citations
University of Colorado Boulder
Boulder, United States
5 h-index
9 publications
581 citations
University of Maryland, College Park
College Park, United States
5 h-index
14 publications
345 citations
IBM (United States)
Armonk, United States
4 h-index
4 publications
428 citations

Harbin Institute of Technology
Harbin, China
4 h-index
4 publications
140 citations

University of Toronto
Toronto, Canada
4 h-index
6 publications
306 citations
1–8 of 194
8 publications · 823 citations
8
h-index
TKDE · 8 publications · 372 citations
8
h-index
PVLDB · 4 publications · 248 citations
4
h-index
3 publications · 125 citations
3
h-index
Repository · 3 publications · 77 citations
3
h-index
1–5