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EDBT
2008
ACM
206views Database» more  EDBT 2008»
14 years 7 months ago
Designing an inductive data stream management system: the stream mill experience
There has been much recent interest in on-line data mining. Existing mining algorithms designed for stored data are either not applicable or not effective on data streams, where r...
Hetal Thakkar, Barzan Mozafari, Carlo Zaniolo
ICDE
2008
IEEE
157views Database» more  ICDE 2008»
14 years 9 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»
14 years 1 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
IJCAI
2007
13 years 9 months ago
Detecting Changes in Unlabeled Data Streams Using Martingale
The martingale framework for detecting changes in data stream, currently only applicable to labeled data, is extended here to unlabeled data using clustering concept. The one-pass...
Shen-Shyang Ho, Harry Wechsler
HPCC
2007
Springer
14 years 1 months ago
Continuous Adaptive Outlier Detection on Distributed Data Streams
In many applications, stream data are too voluminous to be collected in a central fashion and often transmitted on a distributed network. In this paper, we focus on the outlier det...
Liang Su, Weihong Han, Shuqiang Yang, Peng Zou, Ya...