Sep 2, 2010 · First, we present a new approach to encode a Bloom filter such that its length can be adapted to the cardinality of the set it represents, with ...
The first feature, dynamically adapting the Bloom filter length, is im- portant for optimizing network usage in distributed databases, e.g., in Bloom joins. We ...
First, we present a new approach to encode a Bloom filter such that its length can be adapted to the cardinality of the set it represents, with negligible ...
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Sep 2, 2010 · Abstract Bloom filters are extensively used in distributed applications, especially in distributed databases and distributed information ...
Apr 9, 2022 · Bibliographic details on Cardinality estimation and dynamic length adaptation for Bloom filters.
Cardinality estimation and dynamic length adaptation for Bloom filters ... Bloom Filter is introduced that can save the cost of searching Bloom Filter by ...
Cardinality estimation and dynamic length adaptation for Bloom filters. Authors: Odysseas Papapetrou Wolf Siberski Wolfgang Nejdl. Affiliation: 1.
Cardinality estimation and dynamic length adaptation for Bloom filters ... Bloom filters are extensively used in distributed applications, especially in ...
... Cardinality estimation and dynamic length. * adaptation for Bloom filters" by Papapetrou, Siberski, and Nejdl: * http://www.softnet.tuc.gr/~papapetrou ...
Nov 1, 2022 · Cardinality estimation and dynamic length adaptation for. Bloom filters. Distributed and Parallel Databases, 28(2-3):119–156, Dec. 2010. 18 ...