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» False Negative Problem of Counting Bloom Filter
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TKDE
2010
148views more  TKDE 2010»
13 years 3 months ago
False Negative Problem of Counting Bloom Filter
—Bloom filter is effective, space-efficient data structure for concisely representing a data set and supporting approximate membership queries. Traditionally, researchers often b...
Deke Guo, Yunhao Liu, Xiang-Yang Li, Panlong Yang
ICPP
2006
IEEE
13 years 11 months ago
False Rate Analysis of Bloom Filter Replicas in Distributed Systems
Recently, Bloom filters have been widely used in distributed systems where they are replicated to process distributed queries. Bloom filter replicas become stale in a dynamic en...
Yifeng Zhu, Hong Jiang
JCST
2008
175views more  JCST 2008»
13 years 4 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
ESA
2006
Springer
134views Algorithms» more  ESA 2006»
13 years 8 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...