An approach for outlier and novelty detection for text data based on classifier confidence.
Nikola PizuricaSavo TomovicPublished in: AI Commun. (2020)
Keyphrases
- novelty detection
- text data
- text classification
- text mining
- text filtering
- anomaly detection
- high dimensional
- text documents
- structured data
- feature selection
- feature space
- training data
- high dimensional data
- document collections
- web pages
- data sets
- concept drift
- training set
- information extraction
- support vector machine
- support vector
- feature extraction
- classification algorithm
- decision trees
- computer vision
- learning algorithm
- database