Database Integrity Constraints is a set of declarative rules governing a database schema that ensures the accuracy, consistency, and reliability of data by enforcing specific conditions on allowable values, relationships, and state transitions within a database system.
296
Publications
14.7K
Citations
519
Authors
226
Institutions
Publications per year
2017–2026
14
Parents
Publications
296
Conditional Functional Dependencies for Data Cleaning
Philip Bohannon, Wenfei Fan, Floris Geerts et al. · 2007 · 372 citations · Full text
On the semantics of updates in databases
Ronald Fagin, Jeffrey D. Ullman, Moshe Y. Vardi · 1983 · 337 citations
1–5 of 296
Authors
519
- JW
9
h-index
- LB
8
h-index
- WF
6
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- SG
6
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- EZ
6
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1–5 of 519
Institutions
226
Stanford University
Stanford, United States
12 h-index
21 publications
1.8K citations
University of Calabria
Rende, Italy
10 h-index
28 publications
1.4K citations
IBM (United States)
Armonk, United States
9 h-index
14 publications
1.6K citations
University of Edinburgh
Edinburgh, United Kingdom
8 h-index
17 publications
3.3K citations
Carleton University
Ottawa, Canada
7 h-index
9 publications
578 citations
SRI International
Menlo Park, United States
6 h-index
9 publications
239 citations
Menlo School
Atherton, United States
6 h-index
9 publications
239 citations
University of Toronto
Toronto, Canada
6 h-index
8 publications
1K citations
1–8 of 226
Venues
- ACM Transactions on Database Systems
TODS · 19 publications · 2.4K citations
18
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- Very Large Data Bases
Conference · 15 publications · 981 citations
13
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- ACM SIGMOD Record
12 publications · 545 citations
12
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- IEEE Transactions on Knowledge and Data Engineering
TKDE · 15 publications · 830 citations
12
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- Proceedings of the VLDB Endowment
PVLDB · 9 publications · 702 citations
9
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1–5