<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>Erik-Jan van Baaren &#187; math</title>
	<atom:link href="http://www.eriky.com/tag/math/feed" rel="self" type="application/rss+xml" />
	<link>http://www.eriky.com</link>
	<description>Just another geek with a blog</description>
	<lastBuildDate>Fri, 07 May 2010 19:13:28 +0000</lastBuildDate>
	<language>en</language>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
	<generator>http://wordpress.org/?v=3.0.1</generator>
		<item>
		<title>Bloom filters</title>
		<link>http://www.eriky.com/2009/03/bloom-filters</link>
		<comments>http://www.eriky.com/2009/03/bloom-filters#comments</comments>
		<pubDate>Tue, 03 Mar 2009 22:19:11 +0000</pubDate>
		<dc:creator>Erik-Jan</dc:creator>
				<category><![CDATA[Research]]></category>
		<category><![CDATA[bloom filters]]></category>
		<category><![CDATA[distributed systems]]></category>
		<category><![CDATA[math]]></category>

		<guid isPermaLink="false">http://www.eriky.com/?p=93</guid>
		<description><![CDATA[This article by Broder and Mitzenmacher gives a good description of how bloom filters work and what they can do for you. The bloom filter basically replaces a dataset with a filter that can tell you if an item is a member of that set or not. It will not give false negatives, but it [...]]]></description>
			<content:encoded><![CDATA[<p><a title="Bloom filters" href="http://security.riit.tsinghua.edu.cn/seminar/2006_11_23/Bloomfilter_survey_Broder.pdf">This article</a> by Broder and Mitzenmacher gives a good description of how bloom filters work and what they can do for you. The bloom filter basically replaces a dataset with a filter that can tell you if an item is a member of that set or not. It will not give false negatives, but it might give false positives. In practise, this is a negative property that can be outweighted by the space savings a bloom filter introduces; after all, you do not need to query the dataset to determine membership. The most important and summarizing quote you should remember from the article:</p>
<p style="padding-left: 30px;"><strong>The Bloom ﬁlter principle:</strong> Wherever a list or set is used, and space is at a premium, consider using a Bloom ﬁlter if the effect of false positives can be mitigated.</p>
<p>The article also gives a number of examples in which bloom filters are used. E.g. to aid resource location in P2P and cache systems.</p>
]]></content:encoded>
			<wfw:commentRss>http://www.eriky.com/2009/03/bloom-filters/feed</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
	</channel>
</rss>
