934 search results - page 1 / 187 » Anomaly Detection Using Visualization and Machine Learning |
WETICE
2000
IEEE
14 years 9 months ago
2000
IEEE
IEEEVAST
2010
13 years 11 months ago
2010
Modern machine learning techniques provide robust approaches for data-driven modeling and critical information extraction, while human experts hold the advantage of possessing hig...
ICMLA
2010
14 years 2 months ago
2010
Abstract--Clinical electroencephalography (EEG) is routinely used to monitor brain function in critically ill patients, and specific EEG waveforms are recognized by clinicians as s...
FLAIRS
2008
14 years 7 months ago
2008
Anomaly detection methods can be very useful in identifying unusual or interesting patterns in data. A recently proposed conditional anomaly detection framework extends anomaly de...
NIPS
2004
14 years 6 months ago
2004
We show that anomaly detection can be interpreted as a binary classification problem. Using this interpretation we propose a support vector machine (SVM) for anomaly detection. We...