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INFOCOM
2012
IEEE
11 years 7 months ago
The Bloom paradox: When not to use a Bloom filter?
—In this paper, we uncover the Bloom paradox in Bloom filters: sometimes, it is better to disregard the query results of Bloom filters, and in fact not to even query them, thus...
Ori Rottenstreich, Isaac Keslassy
TKDE
2010
184views more  TKDE 2010»
13 years 3 months ago
The Dynamic Bloom Filters
—A Bloom filter is an effective, space-efficient data structure for concisely representing a set, and supporting approximate membership queries. Traditionally, the Bloom filter a...
Deke Guo, Jie Wu, Honghui Chen, Ye Yuan, Xueshan L...
ESA
2006
Springer
134views Algorithms» more  ESA 2006»
13 years 9 months ago
An Improved Construction for Counting Bloom Filters
A counting Bloom filter (CBF) generalizes a Bloom filter data structure so as to allow membership queries on a set that can be changing dynamically via insertions and deletions. As...
Flavio Bonomi, Michael Mitzenmacher, Rina Panigrah...
LCN
2008
IEEE
13 years 11 months ago
P2P directory search: Signature Array Hash Table
— Bloom filters are a well known data structure for approximate set membership. Bloom filters are space efficient but require many independent hashes and consecutive memory acces...
Miguel Jimeno, Kenneth J. Christensen
GLOBECOM
2008
IEEE
13 years 11 months ago
A Memory-Optimized Bloom Filter Using an Additional Hashing Function
— A Bloom filter is a simple space-efficient randomized data structure for the representation set of items in order to support membership queries. In recent years, Bloom filte...
Mahmood Ahmadi, Stephan Wong