14 search results - page 2 / 3 » Density-based clustering for real-time stream data |
KDD
2007
ACM
14 years 5 months ago
2007
ACM
Existing data-stream clustering algorithms such as CluStream are based on k-means. These clustering algorithms are incompetent to find clusters of arbitrary shapes and cannot hand...
ACSW
2004
13 years 6 months ago
2004
A data stream is a continuous and high-speed flow of data items. High speed refers to the phenomenon that the data rate is high relative to the computational power. The increasing...
DMSN
2006
ACM
13 years 11 months ago
2006
ACM
Modern data centers have a large number of components that must be monitored, including servers, switches/routers, and environmental control systems. This paper describes InteMon,...
SDM
2007
SIAM
13 years 6 months ago
2007
SIAM
In recent years, spectral clustering method has gained attentions because of its superior performance compared to other traditional clustering algorithms such as K-means algorithm...
ICDE
2012
IEEE
11 years 8 months ago
2012
IEEE
—“Big Data” in map-reduce (M-R) clusters is often fundamentally temporal in nature, as are many analytics tasks over such data. For instance, display advertising uses Behavio...