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» Finding hierarchical heavy hitters in streaming data
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PET
2012
Springer
11 years 10 months ago
Differentially Private Continual Monitoring of Heavy Hitters from Distributed Streams
We consider applications scenarios where an untrusted aggregator wishes to continually monitor the heavy-hitters across a set of distributed streams. Since each stream can contain ...
T.-H. Hubert Chan, Mingfei Li, Elaine Shi, Wenchan...
SIGMOD
2006
ACM
219views Database» more  SIGMOD 2006»
14 years 7 months ago
Modeling skew in data streams
Data stream applications have made use of statistical summaries to reason about the data using nonparametric tools such as histograms, heavy hitters, and join sizes. However, rela...
Flip Korn, S. Muthukrishnan, Yihua Wu
PODS
2005
ACM
131views Database» more  PODS 2005»
14 years 7 months ago
Space efficient mining of multigraph streams
The challenge of monitoring massive amounts of data generated by communication networks has led to the interest in data stream processing. We study streams of edges in massive com...
Graham Cormode, S. Muthukrishnan
SIGMETRICS
2011
ACM
208views Hardware» more  SIGMETRICS 2011»
12 years 10 months ago
Structure-aware sampling on data streams
The massive data streams observed in network monitoring, data processing and scientific studies are typically too large to store. For many applications over such data, we must ob...
Edith Cohen, Graham Cormode, Nick G. Duffield
ISAAC
2004
Springer
117views Algorithms» more  ISAAC 2004»
14 years 1 months ago
Adaptive Spatial Partitioning for Multidimensional Data Streams
We propose a space-efficient scheme for summarizing multidimensional data streams. Our sketch can be used to solve spatial versions of several classical data stream queries effici...
John Hershberger, Nisheeth Shrivastava, Subhash Su...