Modelos Computacionais Baseados em Feature Selection e Undersampling para Detecção de Fraudes Eletrônicas.
Rafael França LimaAdriano C. M. PereiraPublished in: SBBD (Short Papers) (2015)
Keyphrases
- feature selection
- class imbalance
- unsupervised learning
- text categorization
- em algorithm
- expectation maximization
- machine learning
- mutual information
- feature extraction
- classification accuracy
- feature set
- high dimensionality
- mixture model
- text classification
- probabilistic model
- k means
- support vector
- unsupervised feature selection
- multi task
- gaussian mixture
- gene selection
- gaussian mixture model
- maximum likelihood
- multi class
- knn
- selecting features
- irrelevant features
- small sample
- neural network
- conditional mutual information
- density estimation
- feature subset
- microarray data
- gene expression data
- data mining