Hybridizing graph-based Gaussian mixture model with machine learning for classification of fraudulent transactions.
Debachudamani PrustiRanjan Kumar BeheraSantanu Kumar RathPublished in: Comput. Intell. (2022)
Keyphrases
- gaussian mixture model
- machine learning
- feature vectors
- pattern recognition
- mixture model
- supervised learning
- em algorithm
- feature space
- support vector machine
- model selection
- text classification
- decision trees
- feature selection
- gaussian mixture
- density estimation
- background subtraction
- maximum likelihood criterion
- speaker recognition
- credit card
- support vector
- feature extraction
- image classification
- active learning
- computer vision
- learning algorithm
- class labels
- expectation maximization
- multi class
- fraud detection