A data reduction strategy and its application on scan and backscatter detection using rule-based classifiers.
Vitali Herrera-SemenetsOsvaldo Andrés Pérez-GarcíaRaudel Hernández-LeónJan van den BergChristian DoerrPublished in: Expert Syst. Appl. (2018)
Keyphrases
- data reduction
- instance selection
- data compression
- feature selection
- preprocessing
- training data
- high dimensionality
- classification rules
- knowledge discovery
- support vector
- data analysis
- classification accuracy
- model selection
- classification algorithm
- semi supervised
- rough set theory
- representative subset
- naive bayes
- feature set
- decision trees
- data mining
- decision rules
- real world
- singular value decomposition
- training set
- expert systems
- machine learning