5 search results - page 1 / 1 » Mining Recurring Concept Drifts with Limited Labeled Streami... |
JMLR
2010
12 years 11 months ago
2010
PKDD
2005
Springer
13 years 10 months ago
2005
Springer
In applications such as fraud and intrusion detection, it is of great interest to measure the evolving trends in the data. We consider the problem of quantifying changes between tw...
ICDM
2009
IEEE
13 years 2 months ago
2009
IEEE
Clustering streaming data requires algorithms which are capable of updating clustering results for the incoming data. As data is constantly arriving, time for processing is limited...
ICDE
2008
IEEE
14 years 6 months ago
2008
IEEE
Abstract-- Many applications are driven by evolving data -patterns in web traffic, program execution traces, network event logs, etc., are often non-stationary. Building prediction...
ICDM
2006
IEEE
13 years 10 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...