A Bloom filter is a space efficient structure for storing static sets, where the space efficiency is gained at the expense of a small probability of false-positives. A
%0 Book Section
%1 noKey
%A Charles, Denis
%A Chellapilla, Kumar
%B Algorithms - ESA 2008
%D 2008
%E Halperin, Dan
%E Mehlhorn, Kurt
%I Springer Berlin Heidelberg
%K bloom
%P 259-270
%R 10.1007/978-3-540-87744-8_22
%T Bloomier Filters: A Second Look
%V 5193
%X A Bloom filter is a space efficient structure for storing static sets, where the space efficiency is gained at the expense of a small probability of false-positives. A
%@ 978-3-540-87743-1
@incollection{noKey,
abstract = {A Bloom filter is a space efficient structure for storing static sets, where the space efficiency is gained at the expense of a small probability of false-positives. A },
added-at = {2013-06-03T02:04:25.000+0200},
author = {Charles, Denis and Chellapilla, Kumar},
biburl = {https://www.bibsonomy.org/bibtex/214791f757c8c8cbd0de57d435a37cfa9/ytyoun},
booktitle = {Algorithms - ESA 2008},
doi = {10.1007/978-3-540-87744-8_22},
editor = {Halperin, Dan and Mehlhorn, Kurt},
interhash = {bf01c53aab4a046c835b6489712b3ab1},
intrahash = {14791f757c8c8cbd0de57d435a37cfa9},
isbn = {978-3-540-87743-1},
keywords = {bloom},
pages = {259-270},
publisher = {Springer Berlin Heidelberg},
series = {Lecture Notes in Computer Science},
timestamp = {2013-06-03T02:04:25.000+0200},
title = {Bloomier Filters: A Second Look},
volume = 5193,
year = 2008
}