Using Machine Learning for Risk Classification in Brazilian Federal Voluntary Transfers.
Daniel M. GuilhonAillkeen Bezerra de OliveiraDaniel Lima Gomes Jr.Anselmo Cardoso de PaivaCláudio de Souza BaptistaGeraldo Braz JuniorJoão Dallysson Sousa de AlmeidaPublished in: EGOVIS (2021)
Keyphrases
- machine learning
- pattern recognition
- machine learning methods
- supervised machine learning
- machine learning algorithms
- feature selection
- decision trees
- text classification
- support vector machine
- artificial intelligence
- feature extraction
- classification accuracy
- image classification
- supervised classification
- supervised learning
- feature vectors
- preprocessing
- natural language processing
- automatic classification
- neural network
- model selection
- data mining
- active learning
- classification method
- decision making
- support vector machine svm
- knowledge acquisition
- computer science
- explanation based learning
- learning algorithm
- e government
- data analysis
- predictive modeling
- high risk
- classification systems
- machine learning approaches
- classification scheme
- training samples
- classification models
- pattern classification
- computer vision
- learning systems
- unsupervised learning