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SIGMOD
2006
ACM
219views Database» more  SIGMOD 2006»
16 years 26 days 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
103
Voted
PKDD
2010
Springer
183views Data Mining» more  PKDD 2010»
14 years 10 months ago
Classification and Novel Class Detection of Data Streams in a Dynamic Feature Space
Data stream classification poses many challenges, most of which are not addressed by the state-of-the-art. We present DXMiner, which addresses four major challenges to data stream ...
Mohammad M. Masud, Qing Chen, Jing Gao, Latifur Kh...
FEGC
2010
161views Biometrics» more  FEGC 2010»
15 years 2 months ago
Detecting anomalies in data streams using statecharts
The environment around us is progressively equipped with various sensors, producing data continuously. The applications using these data face many challenges, such as data stream i...
Vasile-Marian Scuturici, Dan-Mircea Suciu, Romain ...
DKE
2006
125views more  DKE 2006»
15 years 22 days ago
Online clustering of parallel data streams
In recent years, the management and processing of so-called data streams has become a topic of active research in several fields of computer science such as, e.g., distributed sys...
Jürgen Beringer, Eyke Hüllermeier
206
Voted
ICDE
2008
IEEE
157views Database» more  ICDE 2008»
16 years 2 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