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Efficient estimation of the cardinality of large data sets
Abstract : Giroire has recently proposed an algorithm which returns the $\textit{approximate}$ number of distinct elements in a large sequence of words, under strong constraints coming from the analysis of large data bases. His estimation is based on statistical properties of uniform random variables in $[0,1]$. In this note we propose an optimal estimation, using Kullback information and estimation theory.
Cited literature [10 references]
https://hal.inria.fr/hal-00095370
Contributor : Coordination Episciences Iam <>
Submitted on : Monday, August 17, 2015 - 2:23:51 PM
Last modification on : Friday, February 26, 2021 - 3:22:08 AM
Long-term archiving on: : Wednesday, November 18, 2015 - 12:07:29 PM
Contributor : Coordination Episciences Iam <>
Submitted on : Monday, August 17, 2015 - 2:23:51 PM
Last modification on : Friday, February 26, 2021 - 3:22:08 AM
Long-term archiving on: : Wednesday, November 18, 2015 - 12:07:29 PM
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