703 search results - page 31 / 141 » Graph-based anomaly detection |
AUSDM
2007
Springer
14 years 2 months ago
2007
Springer
The detection of unusual or anomalous data is an important function in automated data analysis or data mining. However, the diversity of anomaly detection algorithms shows that it...
ISSTA
2012
ACM
11 years 11 months ago
2012
ACM
To avoid receiving incorrect arguments, a method specifies the expected type of each formal parameter. However, some parameter types are too general and have subtypes that the me...
DSN
2000
IEEE
14 years 1 months ago
2000
IEEE
Anomaly detection is a key element of intrusiondetection and other detection systems in which perturbations of normal behavior suggest the presence of intentionally or unintention...
CORR
2010
Springer
13 years 8 months ago
2010
Springer
Network management and security is currently one of the most vibrant research areas, among which, research on detecting and identifying anomalies has attracted a lot of interest. R...
EWSN
2008
Springer
14 years 8 months ago
2008
Springer
In this paper3 , we use Bayesian Networks as a means for unsupervised learning and anomaly (event) detection in gas monitoring sensor networks for underground coal mines. We show t...