31 search results - page 3 / 7 » Incremental Learning of Variable Rate Concept Drift |
DEXA
2008
Springer
2008
Springer
Evolutionary Clustering in Description Logics: Controlling Concept Formation and Drift in Ontologies
13 years 7 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...
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...
ASC
2011
13 years 19 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...
MCS
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. We describe an ensemble of classifiers based algorithm for incremental learning in nonstationary environments. In this formulation, we assume that the learner is presente...
KDD
2002
ACM
14 years 6 months ago
2002
ACM
This paper promotes the use of supervised machine learning in laboratory settings where chemists have a large number of samples to test for some property, and are interested in id...