Novelty Detection in Time Series Through Self-Organizing Networks: An Empirical Evaluation of Two Different Paradigms.
Leonardo AguayoGuilherme De A. BarretoPublished in: SBRN (2008)
Keyphrases
- novelty detection
- text filtering
- anomaly detection
- sentence level
- network structure
- social networks
- concept drift
- support vector data description
- minimum volume
- non stationary
- neural network
- classification algorithm
- multivariate time series
- dynamic time warping
- input data
- information extraction
- probabilistic model
- active learning
- image analysis
- learning algorithm