272 search results - page 2 / 55 » Unsupervised Outlier Detection in Time Series Data |
CANS
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. In this paper, we propose a new unsupervised anomaly detection framework for detecting network intrusions online. The framework consists of new anomalousness metrics name...
PAKDD
2009
ACM
13 years 11 months ago
2009
ACM
Data mining for intrusion detection can be divided into several sub-topics, among which unsupervised clustering has controversial properties. Unsupervised clustering for intrusion...
IJSNET
2010
13 years 2 months ago
2010
: Data collected by Wireless Sensor Networks (WSNs) are inherently unreliable. Therefore, to ensure high data quality, secure monitoring, and reliable detection of interesting and ...
TMI
2010
12 years 11 months ago
2010
Within-subject analysis in fMRI essentially addresses two problems, the detection of brain regions eliciting evoked activity and the estimation of the underlying dynamics. In [1, 2...
DEXA
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. In this paper, we study the problem of projected outlier detection in high dimensional data streams and propose a new technique, called Stream Projected Ouliter deTector ...