433 search results - page 41 / 87 » Hierarchical Visualization of Network Intrusion Detection Da... |
WEBI
2009
Springer
14 years 2 months ago
2009
Springer
: Data mining is the process of posing queries and extracting patterns, often previously unknown from large quantities of data using pattern matching or other reasoning techniques....
SIGMOD
2001
ACM
14 years 7 months ago
2001
ACM
The outlier detection problem has important applications in the eld of fraud detection, network robustness analysis, and intrusion detection. Most such applications are high dimen...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
Deep Belief Networks (DBNs) are hierarchical generative models which have been used successfully to model high dimensional visual data. However, they are not robust to common vari...
SSDBM
2006
IEEE
14 years 1 months ago
2006
IEEE
The detection of correlations between different features in high dimensional data sets is a very important data mining task. These correlations can be arbitrarily complex: One or...
IPPS
2008
IEEE
14 years 2 months ago
2008
IEEE
— When an adaptive software component is employed to select the best-performing implementation for a communication operation at runtime, the correctness of the decision taken str...