Library of streaming algorithms for processing massive data.
Project description
SketchLib
This package contains various streaming algorithms that are useful for processing massive scale data. For example, for calculating heavy-hitters in a data stream, implementations of the Misra-Gries and Count-Min algorithms are available. The problems that can be solved using this package include F0 and F2 estimation as well as set-membership inquiries (Bloom Filter).
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