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arXiv · 1611.04942

Fast and Accurate Mining of Correlated Heavy Hitters

Italo Epicoco·Massimo Cafaro·Marco Pulimeno
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Abstract

The problem of mining Correlated Heavy Hitters (CHH) from a two-dimensional data stream has been introduced recently, and a deterministic algorithm based on the use of the Misra--Gries algorithm has been proposed by Lahiri et al. to solve it. In this paper we present a new counter-based algorithm for tracking CHHs, formally prove its error bounds and correctness and show, through extensive experimental results, that our algorithm outperforms the Misra--Gries based algorithm with regard to accuracy and speed whilst requiring asymptotically much less space.

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Italo Epicoco, Massimo Cafaro, Marco Pulimeno. 2017-04-06. Fast and Accurate Mining of Correlated Heavy Hitters. https://arxiv.org/abs/1611.04942

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