Bloom filters
E1793839
UNEXPLORED
Bloom filters are space-efficient probabilistic data structures used to test whether an element is a member of a set, allowing for false positives but no false negatives.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Bloom filters canonical | 2 |
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.