Apr 9, 2015 · We show a tight space lower bound for any approximated membership querying algorithm that represents a small subset of and answers membership ...
a tight space lower bound for any approximated membership querying algorithm that represents a small subset S of a large universe U in a memory-efficient ...
We show a tight space lower bound for any approximated membership querying algorithm that represents a small subset \(S\) of \(U\) and answers membership ...
Improved weighted bloom filter and space lower bound analysis of algorithms for approximated membership querying. In In- ternational Conference on Database ...
This paper shows asymptotically matching upper and lower bounds for the space of an optimal (Bloom) filter when the input and queries come from specific ...
Improved weighted bloom filter and space lower bound analysis of algorithms for approximated membership querying. In M. Renz, C. Shahabi, X. Zhou, and M. A. ...
Jun 16, 2024 · This paper shows asymptotically matching upper and lower bounds for the space of an optimal (Bloom) filter when the input and queries come from specific ...
A Bloom filter is a simple randomized data structure that answers membership query with no false negative and a small false positive probability.
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Motivation: Approximate membership query (AMQ) structures such as Cuckoo filters or Bloom filters are widely used for representing large sets of elements.
May 31, 2024 · Improving online algorithms ... Improved weighted bloom filter and space lower bound analysis of algorithms for approximated membership querying.