Bloom filters [2] are compact data structures for probabilistic representation of a set in order to support membership queries (i.e. queries that ask: Is element X in set Y?). This compact representation is the payoff for allowing a small rate of false positives in membership queries; that is, queries might incorrectly recognize an element as membe
Bloom filter is effective, space-efficient data structure for concisely representing a data set and ...
A Bloom filter is a compact data structure that supports membership queries on a set, allowing false...
Bloom filters and their variants are widely used as space-efficient probabilistic data structures f...
A Bloom Filter is a simple space-efficient randomized data structure for representing a set in order...
A Bloom filter is a simple randomized data structure that answers membership query with no false neg...
Bloom filter is a probabilistic data structure to filter a membership of a set. Bloom filter returns...
none1noAvailable online 21 September 2017The Bloom filter is a simple random binary data structure w...
Abstract. Bloom filters are a randomized data structure for membership queries dating back to 1970. ...
A Bloom Filter is an efficient randomized data structure for membership queries on a set with a cert...
A Bloom filter is a very compact data structure that supports approximate membership queries on a se...
Bloom filters are compact set representations that support set membership queries with small, one-...
In this paper we compare two probabilistic data structures for association queries derived from the ...
Bloom Filter is a simple space-efficient randomized data structure for representing a set in order t...
Bloom filters are a randomized data structure for membership queries dating back to 1970. Bloom filt...
The Bloom filter (BF) is a space efficient randomized data structure particularly suitable to repres...
Bloom filter is effective, space-efficient data structure for concisely representing a data set and ...
A Bloom filter is a compact data structure that supports membership queries on a set, allowing false...
Bloom filters and their variants are widely used as space-efficient probabilistic data structures f...
A Bloom Filter is a simple space-efficient randomized data structure for representing a set in order...
A Bloom filter is a simple randomized data structure that answers membership query with no false neg...
Bloom filter is a probabilistic data structure to filter a membership of a set. Bloom filter returns...
none1noAvailable online 21 September 2017The Bloom filter is a simple random binary data structure w...
Abstract. Bloom filters are a randomized data structure for membership queries dating back to 1970. ...
A Bloom Filter is an efficient randomized data structure for membership queries on a set with a cert...
A Bloom filter is a very compact data structure that supports approximate membership queries on a se...
Bloom filters are compact set representations that support set membership queries with small, one-...
In this paper we compare two probabilistic data structures for association queries derived from the ...
Bloom Filter is a simple space-efficient randomized data structure for representing a set in order t...
Bloom filters are a randomized data structure for membership queries dating back to 1970. Bloom filt...
The Bloom filter (BF) is a space efficient randomized data structure particularly suitable to repres...
Bloom filter is effective, space-efficient data structure for concisely representing a data set and ...
A Bloom filter is a compact data structure that supports membership queries on a set, allowing false...
Bloom filters and their variants are widely used as space-efficient probabilistic data structures f...