Detecting Anomalies in Netflow Record Time Series by Using a Kernel Function.
Cynthia WagnerThomas EngelPublished in: AIMS (2012)
Keyphrases
- kernel function
- detecting anomalies
- anomaly detection
- support vector
- kernel methods
- data mining applications
- feature space
- abnormal events
- input space
- support vector machine
- positive definite
- support vector regression
- kernel matrix
- multivariate time series
- gaussian kernels
- kernel parameters
- non stationary
- high dimensional
- high dimensional feature space
- multiple kernel learning
- kernel learning
- feature set
- polynomial kernels
- reproducing kernel hilbert space
- database
- positive semidefinite
- reinforcement learning
- data analysis
- kernel trick
- feature vectors
- feature selection
- text classification
- data mining