129 search results - page 5 / 26 » Adaptive Concept Drift Detection. |
DEXA
2008
Springer
2008
Springer
Evolutionary Clustering in Description Logics: Controlling Concept Formation and Drift in Ontologies
13 years 9 months ago
Abstract. We present a method based on clustering techniques to detect concept drift or novelty in a knowledge base expressed in Description Logics. The method exploits an effectiv...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
—The stationarity hypothesis is largely and implicitly assumed when designing classifiers (especially those for industrial applications) but it does not generally hold in practic...
ASC
2011
13 years 2 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...
SBIA
2004
Springer
14 years 25 days ago
2004
Springer
Abstract. Most of the work in machine learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
ASC
2008
13 years 7 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...