Sciweavers

7690 search results - page 102 / 1538
» Clustering Data Streams
Sort
View
COMPGEOM
2004
ACM
15 years 10 months ago
Range counting over multidimensional data streams
We consider the problem of approximate range counting over streams of d-dimensional points. In the data stream model, the algorithm makes a single scan of the data, which is prese...
Subhash Suri, Csaba D. Tóth, Yunhong Zhou
SAC
2010
ACM
15 years 9 months ago
Data stream anomaly detection through principal subspace tracking
We consider the problem of anomaly detection in multiple co-evolving data streams. In this paper, we introduce FRAHST (Fast Rank-Adaptive row-Householder Subspace Tracking). It au...
Pedro Henriques dos Santos Teixeira, Ruy Luiz Mili...
SDM
2004
SIAM
253views Data Mining» more  SDM 2004»
15 years 6 months ago
Density-Connected Subspace Clustering for High-Dimensional Data
Several application domains such as molecular biology and geography produce a tremendous amount of data which can no longer be managed without the help of efficient and effective ...
Peer Kröger, Hans-Peter Kriegel, Karin Kailin...

Book
412views
17 years 4 months ago
Algorithms for Clustering Data
"Cluster analysis is an important technique in the rapidly growing field known as exploratory data analysis and is being applied in a variety of engineering and scientific dis...
A. K. Jain, R. C. Dubes
ICDE
2008
IEEE
122views Database» more  ICDE 2008»
16 years 6 months ago
Exponentially Decayed Aggregates on Data Streams
In a massive stream of sequential events such as stock feeds, sensor readings, or IP traffic measurements, tuples pertaining to recent events are typically more important than olde...
Graham Cormode, Flip Korn, Srikanta Tirthapura