424 search results - page 3 / 85 » Mining data streams with periodically changing distributions |
ICDM
2006
IEEE
13 years 11 months ago
2006
IEEE
Sensor devices are becoming ubiquitous, especially in measurement and monitoring applications. Because of the real-time, append-only and semi-infinite natures of the generated se...
SDM
2004
SIAM
13 years 6 months ago
2004
SIAM
Most previously proposed mining methods on data streams make an unrealistic assumption that "labelled" data stream is readily available and can be mined at anytime. Howe...
ICDM
2007
IEEE
13 years 9 months ago
2007
IEEE
Model-based declarative queries are becoming an attractive paradigm for interacting with many data stream applications. This has led to the development of techniques to accurately...
ICTAI
2007
IEEE
13 years 11 months ago
2007
IEEE
An adaptive boosting ensemble algorithm for classifying homogeneous distributed data streams is presented. The method builds an ensemble of classifiers by using Genetic Programmi...
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...