Feature Selection Based on Sampling and C4.5 Algorithm to Improve the Quality of Text Classification Using Naïve Bayes.
Viviana MolanoCarlos Alberto Cobos LozadaMartha MendozaEnrique Herrera-ViedmaMilos ManicPublished in: MICAI (1) (2014)
Keyphrases
- text classification
- feature selection
- text categorization
- feature weighting
- objective function
- naive bayes classifier
- preprocessing
- detection algorithm
- tree augmented
- computational complexity
- monte carlo
- k means
- expectation maximization
- n gram
- selection algorithm
- dynamic programming
- support vector
- np hard
- mutual information
- support vector machine
- sampling algorithm
- bayes classifiers