A Comparison of Two Strategies for Scaling Up Instance Selection in Huge Datasets.
Aida de Haro-GarcíaJavier Pérez-RodríguezNicolás García-PedrajasPublished in: CAEPIA (2011)
Keyphrases
- instance selection
- uci machine learning repository
- nearest neighbor
- feature and instance selection
- data reduction
- text classification
- multiple instance learning
- class imbalanced
- classification accuracy
- semi supervised learning
- supervised learning
- multi class
- knowledge discovery and data mining
- concept drift
- feature selection
- data compression
- evaluation criteria
- support vector machine
- data mining
- multi modal
- data sets
- rough set theory
- semi supervised
- training set