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DKE
2008
109views more  DKE 2008»
15 years 4 months ago
Deterministic algorithms for sampling count data
Processing and extracting meaningful knowledge from count data is an important problem in data mining. The volume of data is increasing dramatically as the data is generated by da...
Hüseyin Akcan, Alex Astashyn, Hervé Br...
ICDE
2008
IEEE
157views Database» more  ICDE 2008»
16 years 5 months ago
Approximate Clustering on Distributed Data Streams
Abstract-- We investigate the problem of clustering on distributed data streams. In particular, we consider the k-median clustering on stream data arriving at distributed sites whi...
Qi Zhang, Jinze Liu, Wei Wang 0010
APPROX
2004
Springer
108views Algorithms» more  APPROX 2004»
15 years 9 months ago
Estimating Frequency Moments of Data Streams Using Random Linear Combinations
The problem of estimating the kth frequency moment Fk for any nonnegative k, over a data stream by looking at the items exactly once as they arrive, was considered in a seminal pap...
Sumit Ganguly
ML
2010
ACM
142views Machine Learning» more  ML 2010»
15 years 2 months ago
Fast adaptive algorithms for abrupt change detection
We propose two fast algorithms for abrupt change detection in streaming data that can operate on arbitrary unknown data distributions before and after the change. The first algor...
Daniel Nikovski, Ankur Jain
FSTTCS
2005
Springer
15 years 9 months ago
Practical Algorithms for Tracking Database Join Sizes
We present novel algorithms for estimating the size of the natural join of two data streams that have efficient update processing times and provide excellent quality of estimates....
Sumit Ganguly, Deepanjan Kesh, Chandan Saha