1040 search results - page 2 / 208 » TCAM-conscious Algorithms for Data Streams |
DIS
2009
Springer
13 years 11 months ago
2009
Springer
Some challenges in frequent pattern mining from data streams are the drift of data distribution and the computational efficiency. In this work an additional challenge is considered...
ICDE
2006
IEEE
14 years 6 months ago
2006
IEEE
This paper describes how to fit fractal models, online, on IP traffic data streams. Our approach relies on maintaining a sketch of the data stream and fitting straight lines: it y...
ICTAI
2009
IEEE
13 years 11 months ago
2009
IEEE
Existing density-based data stream clustering algorithms use a two-phase scheme approach consisting of an online phase, in which raw data is processed to gather summary statistics...
SAC
2009
ACM
13 years 11 months ago
2009
ACM
In the past years, the theory and practice of machine learning and data mining have been focused on static and finite data sets from where learning algorithms generate a static m...
SIGMOD
2005
ACM
14 years 5 months ago
2005
ACM
Complex queries over high speed data streams often need to rely on approximations to keep up with their input. The research community has developed a rich literature on approximat...