2167 search results - page 2 / 434 » Learning with Drift Detection |
COMAD
2009
13 years 6 months ago
2009
Mining evolving data streams for concept drifts has gained importance in applications like customer behavior analysis, network intrusion detection, credit card fraud detection. Se...
TKDE
2012
11 years 7 months ago
2012
—Online learning algorithms often have to operate in the presence of concept drifts. A recent study revealed that different diversity levels in an ensemble of learning machines a...
ASC
2011
13 years 13 days ago
2011
In this paper, we present new approaches to handling drift and shift in on-line data streams with the help of evolving fuzzy systems (EFS), which are characterized by the fact tha...
INFORMATICALT
2008
13 years 5 months ago
2008
Abstract. Data stream mining has become a novel research topic of growing interest in knowledge discovery. Most proposed algorithms for data stream mining assume that each data blo...
PKDD
2005
Springer
13 years 11 months ago
2005
Springer
In applications such as fraud and intrusion detection, it is of great interest to measure the evolving trends in the data. We consider the problem of quantifying changes between tw...