It's important to note that while Bloom filters provide fast membership queries, they can sometimes produce false positives (indicating an element is present when it's not). The probability of false positives can be controlled by adjusting the size of the filter and the number of hash functions used. The trade-off lies between memory usage and the acceptable level of false positives.

Probabilistic Data Structures

explore further

video ideas

    All notes