406 search results - page 9 / 82 » New ensemble methods for evolving data streams |
SIGMOD
2010
ACM
14 years 1 months ago
2010
ACM
Uncertain data streams, where data is incomplete, imprecise, and even misleading, have been observed in many environments. Feeding such data streams to existing stream systems pro...
CIKM
2006
Springer
14 years 15 days ago
2006
Springer
Data stream clustering has emerged as a challenging and interesting problem over the past few years. Due to the evolving nature, and one-pass restriction imposed by the data strea...
ECML
2007
Springer
14 years 21 days ago
2007
Springer
Abstract. Ensemble methods are popular learning methods that usually increase the predictive accuracy of a classifier though at the cost of interpretability and insight in the deci...
SSDBM
2006
IEEE
14 years 2 months ago
2006
IEEE
Many applicationsstore data items for a pre-determined, finite length of time. Examples include slidingwindows over on-line data streams, where old data are dropped as the window...
IDA
2007
Springer
14 years 2 months ago
2007
Springer
The increasing availability of streaming data is a consequence of the continuing advancement of data acquisition technology. Such data provides new challenges to the various data a...