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AUSDM
2007
Springer
84views Data Mining» more  AUSDM 2007»
14 years 2 months ago
Detecting Anomalous Longitudinal Associations Through Higher Order Mining
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...
Ping Liang, John F. Roddick
SIGKDD
2008
125views more  SIGKDD 2008»
13 years 8 months ago
Incremental pattern discovery on streams, graphs and tensors
Incremental pattern discovery targets streaming applications where the data continuously arrive incrementally. The questions are how to find patterns (main trends) incrementally; ...
Jimeng Sun
DSN
2000
IEEE
14 years 27 days ago
Benchmarking Anomaly-Based Detection Systems
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...
Roy A. Maxion, Kymie M. C. Tan
CORR
2010
Springer
176views Education» more  CORR 2010»
13 years 8 months ago
Network Traffic Anomalies Detection and Identification with Flow Monitoring
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...
Huy Anh Nguyen, Tam Van Nguyen, Dong Il Kim, Deokj...
EWSN
2008
Springer
14 years 8 months ago
Spatiotemporal Anomaly Detection in Gas Monitoring Sensor Networks
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...
X. Rosalind Wang, Joseph T. Lizier, Oliver Obst, M...