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Electronic Journal of Combinatorics
Article . 2000 . Peer-reviewed
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zbMATH Open
Article . 2000
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DBLP
Article . 2000
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Min-Wise Independent Linear Permutations

min-wise independent linear permutations
Authors: Tom Bohman; Colin Cooper; Alan M. Frieze;

Min-Wise Independent Linear Permutations

Abstract

A set of permutations ${\cal F} \subseteq S_n$ is min-wise independent if for any set $X \subseteq [n]$ and any $x \in X$, when $\pi$ is chosen at random in ${\cal F}$ we have ${\bf P} \left(\min\{\pi(X)\} = \pi(x)\right) = {{1}\over {|X|}}$. This notion was introduced by Broder, Charikar, Frieze and Mitzenmacher and is motivated by an algorithm for filtering near-duplicate web documents. Linear permutations are an important class of permutations. Let $p$ be a (large) prime and let ${\cal F}_p=\{p_{a,b}:\;1\leq a\leq p-1,\,0\leq b\leq p-1\}$ where for $x\in [p]=\{0,1,\ldots,p-1\}$, $p_{a,b}(x)=ax+b\pmod p$. For $X\subseteq [p]$ we let $F(X)=\max_{x\in X}\left\{{\bf P}_{a,b}(\min\{p(X)\}=p(x))\right\}$ where ${\bf P}_{a,b}$ is over $p$ chosen uniformly at random from ${\cal F}_p$. We show that as $k,p \to\infty$, ${\bf E}_X[F(X)]={{1}\over {k}}+O\left({(\log k)^3}\over {k^{3/2}}\right)$ confirming that a simply chosen random linear permutation will suffice for an average set from the point of view of approximate min-wise independence.

Country
United Kingdom
Keywords

min-wise independent linear permutations, Combinatorial probability, Information storage and retrieval of data, Asymptotic properties of nonparametric inference, approximate min-wise independence, Computational difficulty of problems (lower bounds, completeness, difficulty of approximation, etc.), AltaVista Web index algorithm, detection and filtering of near-duplicate documents

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Average
Top 10%
Average
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