Weighted Random Sampling over Data Streams

Published 1 Dec 2010 in cs.DS | (1012.0256v2)

Abstract: In this work, we present a comprehensive treatment of weighted random sampling (WRS) over data streams. More precisely, we examine two natural interpretations of the item weights, describe an existing algorithm for each case ([2, 4]), discuss sampling with and without replacement and show adaptations of the algorithms for several WRS problems and evolving data streams.

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Authors (1)

Pavlos S. Efraimidis

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