19 search results - page 1 / 4 » A General Framework for Mining Concept-Drifting Data Streams... |
SDM
2007
SIAM
13 years 6 months ago
2007
SIAM
In recent years, there have been some interesting studies on predictive modeling in data streams. However, most such studies assume relatively balanced and stable data streams but...
CIKM
2010
Springer
13 years 3 months ago
2010
Springer
The major challenge in mining data streams is the issue of concept drift, the tendency of the underlying data generation process to change over time. In this paper, we propose a g...
KDD
2009
ACM
14 years 5 months ago
2009
ACM
Advanced analysis of data streams is quickly becoming a key area of data mining research as the number of applications demanding such processing increases. Online mining when such...
KDD
2003
ACM
14 years 5 months ago
2003
ACM
Recently, mining data streams with concept drifts for actionable insights has become an important and challenging task for a wide range of applications including credit card fraud...
CORR
2004
Springer
13 years 4 months ago
2004
Springer
Spam, also known as Unsolicited Commercial Email (UCE), is the bane of email communication. Many data mining researchers have addressed the problem of detecting spam, generally by...