11 search results - page 2 / 3 » DDD: A New Ensemble Approach for Dealing with Concept Drift |
ASC
2011
12 years 12 months 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...
ASC
2008
13 years 5 months ago
2008
Most data mining algorithms assume static behavior of the incoming data. In the real world, the situation is different and most continuously collected data streams are generated by...
DIS
2004
Springer
13 years 10 months ago
2004
Springer
The two main challenges typically associated with mining data streams are concept drift and data contamination. To address these challenges, we seek learning techniques and models ...
SDM
2007
SIAM
13 years 6 months ago
2007
SIAM
We present a new approach for dealing with distribution change and concept drift when learning from data sequences that may vary with time. We use sliding windows whose size, inst...
KDD
2008
ACM
14 years 5 months ago
2008
ACM
Closed patterns are powerful representatives of frequent patterns, since they eliminate redundant information. We propose a new approach for mining closed unlabeled rooted trees a...