77 search results - page 7 / 16 » Systematic data selection to mine concept-drifting data stre... |
EDBT
2006
ACM
14 years 7 months ago
2006
ACM
Recent advances in hardware technology have resulted in the ability to collect and process large amounts of data. In many cases, the collection of the data is a continuous process ...
PAKDD
2010
ACM
13 years 9 months ago
2010
ACM
We present ActMiner, which addresses four major challenges to data stream classification, namely, infinite length, concept-drift, conceptevolution, and limited labeled data. Most o...
AUSDM
2007
Springer
14 years 1 months ago
2007
Springer
Automated adversarial detection systems can fail when under attack by adversaries. As part of a resilient data stream mining system to reduce the possibility of such failure, adap...
SDM
2004
SIAM
13 years 9 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...
BTW
2005
Springer
14 years 1 months ago
2005
Springer
Abstract: An effective processing and analysis of data streams is of utmost importance for a plethora of emerging applications like network monitoring, traffic management, and fi...