Bloom filter
hashing-based data structure for maintaining a set of items in limited memory, allowing false positives but no false negatives
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Bloom filter
Summary
Bloom filter is an Approximate Membership Query Filter[1]. It draws 5,075 Wikipedia views per month (approximate_membership_query_filter category, ranking #1 of 3).[2]
Key Facts
- Bloom filter is credited with the discovery of Burton Howard Bloom[3].
- Bloom filter's instance of is recorded as Approximate Membership Query Filter[4].
- Burton Howard Bloom is named after Bloom filter[5].
- Bloom filter is used for Bloom filters in bioinformatics[6].
- Bloom filter's Commons category is recorded as Bloom filter[7].
- Bloom filter was released on July 1, 1970[8].
- Bloom filter's Stack Exchange tag is recorded as https://stackoverflow.com/tags/bloom-filter[9].
- Bloom filter's has effect is recorded as type I error[10].
- Bloom filter's different from is recorded as bloom[11].
- Bloom filter's ACM Classification Code is recorded as 10010056[12].
- Bloom filter's uses is recorded as hashing[13].
- Bloom filter's maintained by WikiProject is recorded as WikiProject Mathematics[14].
- Bloom filter's does not have effect is recorded as type II error[15].
Body
Definition and Type
Bloom filter's instance of is recorded as Approximate Membership Query Filter[4].
Origins
Burton Howard Bloom is named after Bloom filter[5].
Use and Application
Bloom filter is used for Bloom filters in bioinformatics[6].
Why It Matters
Bloom filter draws 5,075 Wikipedia views per month (approximate_membership_query_filter category, ranking #1 of 3).[2] It has Wikipedia articles in 17 language editions, a strong signal of global cultural recognition.[16] It is known by 9 alternative names across languages and contexts.[17]