Combining clustering and classification algorithms for automatic bot detection: a case study on posts about COVID-19.
Diego Bezerra LiraFernando XavierLuciano Antonio DigiampietriPublished in: SBSI (2021)
Keyphrases
- benchmark datasets
- unsupervised learning
- clustering algorithm
- classification algorithm
- data clustering
- unsupervised classification
- image classification
- machine learning methods
- data reduction
- feature extraction
- pattern recognition
- data structure
- case study
- decision trees
- supervised classification
- anomaly detection
- classification method
- machine learning algorithms
- unsupervised clustering
- nearest neighbor algorithm
- learning algorithm
- k means
- feature selection
- clustering method
- computational complexity
- feature space
- data sets
- neural network
- clustering analysis
- combining multiple
- density estimation
- cluster analysis
- active learning
- classification accuracy
- data points
- object detection
- detection method