A-GHSOM: An adaptive growing hierarchical self organizing map for network anomaly detection.
Dennis IppolitiXiaobo ZhouPublished in: J. Parallel Distributed Comput. (2012)
Keyphrases
- feature selection
- growing hierarchical self organizing map
- network anomaly detection
- self organizing maps
- tumor classification
- unsupervised learning
- anomaly detection
- network intrusion detection
- neural network
- input data
- naive bayes
- k means
- feature space
- high dimensionality
- machine learning
- expectation maximization
- data sets
- computer networks
- fraud detection
- text corpora
- face recognition