A Hybrid Feature Selection Method for Classifying Metagenomic Data in Relation to Inflammatory Bowel Disease.
Mustafa AlshawaqfehAmmar GharaibehBilal WajidPublished in: ICAAI (2019)
Keyphrases
- synthetic data
- data sets
- test data
- input data
- feature selection
- noisy data
- missing data
- data mining techniques
- prior information
- statistical methods
- missing values
- unsupervised learning
- pairwise
- information loss
- support vector machine
- database
- preprocessing
- training samples
- clustering method
- data points
- feature ranking
- objective function
- data structure
- data analysis
- support vector machine svm
- text categorization
- prior knowledge
- data sources
- semi supervised
- knn
- training data
- similarity measure
- knowledge discovery
- statistical significance
- discriminative features
- classification accuracy
- irrelevant features