Bloom filters are an essential class of probabilistic data structures designed for rapid set membership testing while minimising memory usage. By utilising multiple hash functions, these ...

Hash Function: A deterministic algorithm that converts input data into a fixed-size numerical value, ensuring uniform distribution of elements across a Bloom filter.