Probabilistic Databases
Probabilistic databases is a research field and database model concerned with managing data where values, attributes, or tuple existence carry uncertainty, often represented as probabilities or confidence scores. This domain investigates formalisms, data structures, and query processing techniques to efficiently store, query, and reason about uncertain information, enabling robust data management in contexts with inherent imprecision or incompleteness.
164
Publications
11.8K
Citations
276
Authors
132
Institutions
Publications per year
2017–2026
15
Parents
164
ULDBs: databases with uncertainty and lineage
Omar Benjelloun, Anish Das Sarma, Alon Halevy et al. · Very Large Data Bases · 2006 · 459 citations
Efficient Top-k Query Evaluation on Probabilistic Data
Christopher Ré, Nilesh Dalvi, Dan Suciu · 2007 · 372 citations
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Leading researchers in Probabilistic Databases. Counts cover only their work on this concept, not their overall record.
| Publications | Citations | H-Index | |
|---|---|---|---|
DS University of Washington | 20 | 2.6K | 17 |
AD University of Maryland, College Park | 12 | 988 | 12 |
DO University of Oxford | 11 | 537 | 11 |
LG University of Maryland, College Park | 8 | 547 | 8 |
CK Cornell University | 7 | 394 | 7 |
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Leading universities and research organizations in Probabilistic Databases. Counts cover only their work on this concept, not their overall record.
| Publications | Citations | H-Index | |
|---|---|---|---|
College Park, United States | 46 | 4.1K | 17 |
Seattle, United States | 40 | 5.1K | 17 |
Oxford, United Kingdom | 25 | 1K | 12 |
Stanford, United States | 15 | 2.6K | 9 |
![]() Ithaca, United States | 9 | 430 | 8 |
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Leading journals and conferences in Probabilistic Databases. Counts cover only their publications on this concept, not their overall record.
| Publications | Citations | H-Index | |
|---|---|---|---|
13 | 909 | 13 | |
11 | 1K | 11 | |
8 | 796 | 8 | |
7 | 1.3K | 7 | |
4 | 70 | 4 |
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