74 citations · 96 across the 13 of their papers we have counts for
Showing 2016 · cs.DSShow all
2 papers · 2 filters
cs.DS2016
Fast and Accurate Mining of Correlated Heavy Hitters
Italo Epicoco, Massimo Cafaro, Marco Pulimeno
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--G…
cs.DS2016★ 22 cited
Mining frequent items in the time fading model
Massimo Cafaro, Marco Pulimeno, Italo Epicoco +1
We present FDCMSS, a new sketch-based algorithm for mining frequent items in data streams. The algorithm cleverly combines key ideas borrowed from forward decay, the Count-Min and…