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» Space-optimal heavy hitters with strong error bounds
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PODS
2009
ACM
100views Database» more  PODS 2009»
14 years 5 months ago
Space-optimal heavy hitters with strong error bounds
The problem of finding heavy hitters and approximating the frequencies of items is at the heart of many problems in data stream analysis. It has been observed that several propose...
Radu Berinde, Graham Cormode, Piotr Indyk, Martin ...
CCR
2008
94views more  CCR 2008»
13 years 5 months ago
Probabilistic lossy counting: an efficient algorithm for finding heavy hitters
Knowledge of the largest traffic flows in a network is important for many network management applications. The problem of finding these flows is known as the heavy-hitter problem ...
Xenofontas A. Dimitropoulos, Paul Hurley, Andreas ...
PODS
2009
ACM
110views Database» more  PODS 2009»
14 years 5 months ago
Optimal tracking of distributed heavy hitters and quantiles
We consider the the problem of tracking heavy hitters and quantiles in the distributed streaming model. The heavy hitters and quantiles are two important statistics for characteri...
Ke Yi, Qin Zhang
PODS
2012
ACM
281views Database» more  PODS 2012»
11 years 7 months ago
Mergeable summaries
We study the mergeability of data summaries. Informally speaking, mergeability requires that, given two summaries on two data sets, there is a way to merge the two summaries into ...
Pankaj K. Agarwal, Graham Cormode, Zengfeng Huang,...
ICDE
2007
IEEE
111views Database» more  ICDE 2007»
14 years 6 months ago
Proof Sketches: Verifiable In-Network Aggregation
Recent work on distributed, in-network aggregation assumes a benign population of participants. Unfortunately, modern distributed systems are plagued by malicious participants. In...
Minos N. Garofalakis, Joseph M. Hellerstein, Petro...