971 search results - page 104 / 195 » Mining Several Data Bases with an Ensemble of Classifiers |
KDD
2003
ACM
14 years 9 months ago
2003
ACM
Burst detection is the activity of finding abnormal aggregates in data streams. Such aggregates are based on sliding windows over data streams. In some applications, we want to mo...
ICDM
2006
IEEE
14 years 3 months ago
2006
IEEE
When monitoring sensory data (e.g., from a wearable device) the context oftentimes changes abruptly: people move from one situation (e.g., working quietly in their office) to ano...
SDM
2009
SIAM
14 years 6 months ago
2009
SIAM
With the explosion of social media, scalability becomes a key challenge. There are two main aspects of the problems that arise: 1) data volume: how to manage and analyze huge data...
ESWA
2008
13 years 9 months ago
2008
Clustering is an important function in data mining. Its typical application includes the analysis of consumer's materials. Adaptive resonance theory network (ART) is very pop...
AUSDM
2007
Springer
14 years 3 months ago
2007
Springer
The efficient market hypothesis states that the market incorporates all available information to provide an accurate valuation of the asset at any given time. However, most models...