A Hybrid Semi-Supervised Anomaly Detection Model for High-Dimensional Data.
Hongchao SongZhuqing JiangAidong MenBo YangPublished in: Comput. Intell. Neurosci. (2017)
Keyphrases
- anomaly detection
- high dimensional data
- semi supervised
- intrusion detection
- high dimensional
- data points
- clustering high dimensional data
- nearest neighbor
- text mining
- subspace clustering
- unsupervised learning
- one class support vector machines
- anomalous behavior
- network intrusion detection
- subspace learning
- dimension reduction
- microarray
- feature selection
- low dimensional
- knowledge discovery
- object recognition
- data streams
- image processing