Rough Set Analysis of Classification Data with Missing Values.
Marcin SzelagJerzy BlaszczynskiRoman SlowinskiPublished in: IJCRS (1) (2017)
Keyphrases
- missing values
- rough sets
- data analysis
- missing data
- incomplete data
- decision rules
- rough set theory
- data sets
- training data
- high dimensional data
- knowledge discovery
- machine learning
- pattern recognition
- rough sets theory
- data reduction
- continuous valued attributes
- cross validation
- missing attribute values
- machine learning algorithms
- data mining techniques
- model selection
- text classification
- input data
- nearest neighbor
- data points
- feature vectors
- expert systems
- support vector
- feature selection
- real world
- neural network