What Is a Bloom Filter? A Bloom filter is a data structure that can be used to tell a user whether a specific item is a part of a set. Let's explore more in this article.
What Is a Bloom Filter?
Bloom filter is a probabilistic data structure that works on hash-coding methods. It is a memory-efficient, probabilistic data structure that we can use to answer the question of whether or not a given element is in a set.
What can we expect from a Bloom filter?
When a Bloom filter says an element is not present it is 100% sure not present.
However, because bloom filters are probabilistic, when they claim a certain element is present, they do not do so with absolute certainty. There is a probability that every bit of the hash function-provided index has been set to 1 by prior inputs owing to the collision.
Can we get 100% accurate results from a Bloom filter?
Yes, this could be achieved 'only' by taking more hash functions. With more numbers of the hash function, we can get a more accurate result because the chances of a collision are less.
What Is a Bloom Filter? What can we expect from a Bloom filter? - Hopefully, this article can help you to get some knowledge.
