1216 search results - page 25 / 244 » Anomaly Detection Using an Ensemble of Feature Models |
KDD
2007
ACM
14 years 8 months ago
2007
ACM
We consider the problem of detecting anomalies in high arity categorical datasets. In most applications, anomalies are defined as data points that are 'abnormal'. Quite ...
CIDM
2009
IEEE
14 years 2 months ago
2009
IEEE
— Many real-world applications have problems when learning from imbalanced data sets, such as medical diagnosis, fraud detection, and text classification. Very few minority clas...
CLUSTER
2007
IEEE
14 years 2 months ago
2007
IEEE
— A critical problem facing by managing large-scale clusters is to identify the location of problems in a system in case of unusual events. As the scale of high performance compu...
BMCBI
2011
13 years 2 months ago
2011
Background: Automated, image based high-content screening is a fundamental tool for discovery in biological science. Modern robotic fluorescence microscopes are able to capture th...
IMC
2009
ACM
14 years 2 months ago
2009
ACM
Statistical machine learning techniques have recently garnered increased popularity as a means to improve network design and security. For intrusion detection, such methods build ...