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VLDB
2007
ACM

A Bayesian Method for Guessing the Extreme Values in a Data Set

10 years 7 months ago
A Bayesian Method for Guessing the Extreme Values in a Data Set
For a large number of data management problems, it would be very useful to be able to obtain a few samples from a data set, and to use the samples to guess the largest (or smallest) value in the entire data set. Min/max online aggregation, top-k query processing, outlier detection, and distance join are just a few possible applications. This paper details a statistically rigorous, Bayesian approach to attacking this problem. Just as importantly, we demonstrate the utility of our approach by showing how it can be applied to two specific problems that arise in the context of data management.
Mingxi Wu, Chris Jermaine
Added 09 Jun 2010
Updated 09 Jun 2010
Type Conference
Year 2007
Where VLDB
Authors Mingxi Wu, Chris Jermaine
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