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» On the false-positive rate of Bloom filters
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ESA
2006
Springer
134views Algorithms» more  ESA 2006»
13 years 11 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...
ESA
2006
Springer
106views Algorithms» more  ESA 2006»
13 years 11 months ago
Less Hashing, Same Performance: Building a Better Bloom Filter
A standard technique from the hashing literature is to use two hash functions h1(x) and h2(x) to simulate additional hash functions of the form gi(x) = h1(x) + ih2(x). We demonstra...
Adam Kirsch, Michael Mitzenmacher
JCST
2008
175views more  JCST 2008»
13 years 7 months ago
Improved Approximate Detection of Duplicates for Data Streams Over Sliding Windows
Detecting duplicates in data streams is an important problem that has a wide range of applications. In general, precisely detecting duplicates in an unbounded data stream is not fe...
Hong Shen, Yu Zhang
CSREASAM
2006
13 years 8 months ago
An Efficient Bloom Filter Based Solution for Multiparty Private Matching
- The issue of privacy becomes more and more important. On the other hand, online collaboration among different parties is almost unavoidable. How to allow collaboration while prot...
Pierre K. Y. Lai, Siu-Ming Yiu, K. P. Chow, C. F. ...
DPD
2010
153views more  DPD 2010»
13 years 4 months ago
Cardinality estimation and dynamic length adaptation for Bloom filters
Abstract Bloom filters are extensively used in distributed applications, especially in distributed databases and distributed information systems, to reduce network requirements and...
Odysseas Papapetrou, Wolf Siberski, Wolfgang Nejdl