Predicting the h-index with cost-sensitive naive Bayes.
Alfonso IbáñezPedro LarrañagaConcha BielzaPublished in: ISDA (2011)
Keyphrases
- naive bayes
- cost sensitive
- decision trees
- misclassification costs
- cost sensitive learning
- text classification
- classification accuracy
- logistic regression
- training data
- binary classification
- text categorization
- bayesian networks
- classification algorithm
- probability estimation
- naive bayes classifier
- fraud detection
- class distribution
- probability estimates
- feature selection
- class probabilities
- boosting algorithms
- base classifiers
- class imbalance
- information retrieval
- feature space
- neural network