7 search results - page 1 / 2 » Addressing Concept-Evolution in Concept-Drifting Data Stream... |
ICDM
2010
IEEE
13 years 2 months ago
2010
IEEE
Abstract--The problem of data stream classification is challenging because of many practical aspects associated with efficient processing and temporal behavior of the stream. Two s...
KDD
1998
ACM
13 years 8 months ago
1998
ACM
The task in the computer security domain of anomaly detection is to characterize the behaviors of a computer user (the `valid', or `normal' user) so that unusual occurre...
SDM
2009
SIAM
14 years 1 months ago
2009
SIAM
An established method to detect concept drift in data streams is to perform statistical hypothesis testing on the multivariate data in the stream. Statistical decision theory off...
MIR
2005
ACM
13 years 10 months ago
2005
ACM
Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...
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...