677 search results - page 76 / 136 » Dempster-Shafer for Anomaly Detection |
SP
2008
IEEE
14 years 2 months ago
2008
IEEE
The efficacy of Anomaly Detection (AD) sensors depends heavily on the quality of the data used to train them. Artificial or contrived training data may not provide a realistic v...
VIZSEC
2005
Springer
14 years 1 months ago
2005
Springer
Traffic anomalies and attacks are commonplace in today’s networks and identifying them rapidly and accurately is critical for large network operators. For a statistical intrusi...
CW
2003
IEEE
14 years 1 months ago
2003
IEEE
Information and infrastructure security is a serious issue of global concern. As the last line of defense for security infrastructure, intrusion detection techniques are paid more...
ICML
2010
IEEE
2010
IEEE
Unsupervised Risk Stratification in Clinical Datasets: Identifying Patients at Risk of Rare Outcomes
13 years 9 months ago
Most existing algorithms for clinical risk stratification rely on labeled training data. Collecting this data is challenging for clinical conditions where only a small percentage ...
GIS
2008
ACM
14 years 9 months ago
2008
ACM
This paper presents a case study on the application of data mining to the problem of detecting ecosystem disturbances from vegetation cover data obtained from satellite observatio...