934 search results - page 53 / 187 » Anomaly Detection Using Visualization and Machine Learning |
KI
2007
Springer
14 years 9 months ago
2007
Springer
Detecting unknown worms is a challenging task. Extant solutions, such as anti-virus tools, rely mainly on prior explicit knowledge of specific worm signatures. As a result, after t...
ISMIS
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. Anomaly detection is based on profiles that represent normal behaviour of users, hosts or networks and detects attacks as significant deviations from these profiles. In t...
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DIAGRAMS
2004
Springer
15 years 3 months ago
2004
Springer
Decision trees are a widely used knowledge representation in machine learning. However, one of their main drawbacks is the inherent replication of isomorphic subtrees, as a result...
101
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WMCSA
2008
IEEE
15 years 4 months ago
2008
IEEE
Remote patient monitoring generates much more data than healthcare professionals are able to manually interpret. Automated detection of events of interest is therefore critical so...
BMCBI
2006
14 years 10 months ago
2006
Background: Retinal photoreceptors are highly specialised cells, which detect light and are central to mammalian vision. Many retinal diseases occur as a result of inherited dysfu...