120 search results - page 4 / 24 » Predictive Learning Models for Concept Drift |
SDM
2007
SIAM
13 years 9 months ago
2007
SIAM
In recent years, there have been some interesting studies on predictive modeling in data streams. However, most such studies assume relatively balanced and stable data streams but...
RAID
2009
Springer
14 years 2 months ago
2009
Springer
Because of the ad hoc nature of web applications, intrusion detection systems that leverage machine learning techniques are particularly well-suited for protecting websites. The re...
COLT
1999
Springer
13 years 12 months ago
1999
Springer
We consider the problem of learning to predict as well as the best in a group of experts making continuous predictions. We assume the learning algorithm has prior knowledge of the ...
COMAD
2009
13 years 8 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...
ALT
2008
Springer
14 years 4 months ago
2008
Springer
We consider the problem of learning to predict as well as the best in a group of experts making continuous predictions. We assume the learning algorithm has prior knowledge of the ...