212 search results - page 9 / 43 » Resource Adaptive Periodicity Estimation of Streaming Data |
DIS
2004
Springer
14 years 24 days 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
2004
SIAM
13 years 8 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...
IDEAS
2000
IEEE
13 years 11 months ago
2000
IEEE
Today many applications routinely generate large quantities of data. The data often takes the form of (time) series, or more generally streams, i.e. an ordered sequence of records...
DAWAK
2008
Springer
13 years 9 months ago
2008
Springer
Data warehouses are increasingly supplied with data produced by a large number of distributed sensors in many applications: medicine, military, road traffic, weather forecast, util...
SDM
2007
SIAM
13 years 8 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...