About: Approximate Membership Query Filter

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Approximate Membership Query Filter (AMQ-Filter) is a group of space-efficient probabilistic data structures that supports approximate membership queries. An approximate membership query answers if an element is in a set or not with a false positive rate of . Bloom filters are the most known AMQ-Filter, but there are other AMQ-Filters that support additional operations or have different space requirements.

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  • Approximate Membership Query Filter (AMQ-Filter) is a group of space-efficient probabilistic data structures that supports approximate membership queries. An approximate membership query answers if an element is in a set or not with a false positive rate of . Bloom filters are the most known AMQ-Filter, but there are other AMQ-Filters that support additional operations or have different space requirements. AMQ-Filters have numerous applications, mainly in distributed systems and databases. There, they are often used to avoid network request or I/O operations that result from requesting elements that do not exist. (en)
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  • Approximate Membership Query Filter (AMQ-Filter) is a group of space-efficient probabilistic data structures that supports approximate membership queries. An approximate membership query answers if an element is in a set or not with a false positive rate of . Bloom filters are the most known AMQ-Filter, but there are other AMQ-Filters that support additional operations or have different space requirements. (en)
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  • Approximate Membership Query Filter (en)
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