A Fuzzy Approach for Classification and Novelty Detection in Data Streams Under Intermediate Latency.
Andre Luis CristianiTiago Pinho da SilvaHeloisa de Arruda CamargoPublished in: BRACIS (2) (2020)
Keyphrases
- novelty detection
- data streams
- concept drift
- text filtering
- anomaly detection
- support vector data description
- sliding window
- fuzzy sets
- sentence level
- classification accuracy
- pattern recognition
- feature selection
- supervised learning
- streaming data
- feature vectors
- sensor networks
- database systems
- data structure
- classification algorithm
- feature space
- data sets
- class labels
- text categorization
- training samples
- fuzzy rules
- feature extraction
- support vector machine
- image segmentation
- data stream classification
- pairwise