Algorithmic work on processing massive data streams has focussed on producing efficient summaries of streams to answer particular queries. The count-min sketch answers point, range and inner product queries, and can be used as the basis of algorithms to find approximate heavy hitters and quantiles. It improves space and update time over previous solutions for dynamic data streams and the analysis is quite simple.
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