59 search results - page 3 / 12 » Knowledge Maintenance on Data Streams with Concept Drifting |
CIKM
2010
Springer
13 years 4 months ago
2010
Springer
The major challenge in mining data streams is the issue of concept drift, the tendency of the underlying data generation process to change over time. In this paper, we propose a g...
ASC
2011
13 years 24 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...
MIR
2005
ACM
13 years 11 months ago
2005
ACM
Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...
KDD
2003
ACM
14 years 6 months ago
2003
ACM
Recently, mining data streams with concept drifts for actionable insights has become an important and challenging task for a wide range of applications including credit card fraud...
KDD
1998
ACM
13 years 10 months ago
1998
ACM
The task in the computer security domain of anomaly detection is to characterize the behaviors of a computer user (the `valid', or `normal' user) so that unusual occurre...